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Modeling Photovoltaic Facilities via Fuzzy Sets and Linguistic Petri Nets Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-04-09 Jesús Medina, Juan Moreno-García
This paper introduces a formal procedure based on linguistic Petri nets and fuzzy sets in order to model photovoltaic facilities and provide different alerts with respect to a correct performance. Furthermore, this procedure has been illustrated in a real case. Specifically, it is tested on six solar photovoltaic facilities (stations) owned by the company Grupo Energético de Puerto Real (GEN). The
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Evaluating the Critical Success Factors of Marketing Automation Through Cross-Case Analysis and DEMATEL Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-04-05 Akshay Mathur, Saumya Singh
This study investigates the critical success factors (CSFs) of marketing automation (MA) for business-to-business (B2B) IT companies. The research employs a distinctive approach combining qualitative and quantitative methods to study the cause–effect phenomena and ascertain the rank of the CSFs to address the lack of comprehensive research in the existing literature. Utilizing the technology acceptance
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Multi-Objective Last-Mile Vehicle Routing Problem for Fresh Food E-Commerce: A Sustainable Perspective Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-04-03 Xing Liu, Xunjie Gou, Zeshui Xu
Last-mile logistics poses a pivotal challenge for the sustainable prosperity of fresh food e-commerce. However, there has been insufficient research attention towards optimizing the last-mile vehicle routing from three sustainable dimensions simultaneously based on triple-bottom-line. To narrow this gap, this paper proposes a multi-objective last-mile vehicle routing model for fresh food e-commerce
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Discriminant Decision Making of Cardiovascular Diseases Based on Cloud-Based Convolutional Attention Network Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-27 Wei Liu, Congjun Rao
Cardiovascular diseases (CVDs) have become the number one killer affecting human health. In order to reduce the burden of medical workers, facilitate government screening of the population and enable patients to conduct their own health status checks, there is an urgent need for a complementary diagnostic system to predict the occurrence of CVD. In this study, a new cloud-based convolutional attention
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A Multi-Criteria Strategic Evaluation Model to Determine the Suitability of Newly Rising Engineering Departments in Turkish Universities Based on the Data from the Year 2009 to 2020 Using the Econophysics Perspective Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-27 Yusuf Tansel İç
In the recent decade, engineering and technology have been developed rapidly, and new requirements are rising for engineering education. So, new and more focused departments are rising in the engineering faculty. The Turkish economy has been developed, and it is necessary to develop new technologies in industry based on the new investments. The scientific models are required to decide which engineering
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Reliability Evaluation of Binary Group Decision-Making Mechanism Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-26 Qiang Liu, Xinyu Peng, Qingmiao Liu, Qiao Li
Decision-making is an important management activity. This study evaluates the reliability of group decision-making (GDM) and multi-attribute GDM (MAGDM) mechanisms for a class of 0–1 binary decision-making problem. We define the reliability of GDM and MAGDM, use the weighted voting system to model the GDM and MAGDM mechanisms, and propose two algorithms to evaluate the reliability of GDM and MAGDM
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Basic Statistical Methods in Determining Criteria Weights Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-20 Üzeyir Fidan
The proliferation of technology has facilitated data accessibility, leading to an expansion in the range of criteria employed in decision problem design. This situation offers an advantage for making precise and rational decisions, but when it comes to managing spending, it becomes a disadvantage. Specifically, the expense of acquiring expert views utilized in the computation of criteria weights by
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A Flexible Cross-Efficiency Model with Partial Preference for Efficiency Evaluation of Clean Transportation Energy Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-19 Meiling Li, Ying-Ming Wang, Jian Lin
The rapid development of the transportation industry benefits from the consumption of energy, but the excessive dependence on petroleum fuels makes it a major source of air pollution. In order to achieve green and high-quality development of the transportation industry, many countries are committed to scientifically evaluating the utilization efficiency of clean energy, which has attracted wide attention
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Performance Assessment of Business Process Optimization Algorithms Using a Prototype Dataset Generator Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-16 Athanasios Dragoslis, Ilias Sakellariou, Kostas Vergidis
Modern approaches of business administration consider processes as the fundamental element for the structure of a company that pursues high competitiveness and profitability. Hence, the implementation of effective processes has become a major concern, in an attempt to develop methodologies for their continuous improvement with respect to predefined evaluation criteria. Considering that an optimization
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A Trustworthy and Explainable Framework for Benchmarking Hybrid Deep Learning Models Based on Chest X-Ray Analysis in CAD Systems Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-03-07 A. S. Albahri, Mustafa Mohammed Jassim, Laith Alzubaidi, Rula A. Hamid, M. A. Ahmed, Z. T. Al-Qaysi, O. S. Albahri, A. H. Alamoodi, M. E. Alqaysi, Thura J. Mohammed, Gang Kou, Fahd S. Alotaibi, Iman Mohamad Sharaf
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD) systems is challenging. There is a need to optimize trust and performance in model selection. A wide range of models based on evaluation metrics can make it challenging to choose the best one, especially for complex multi-criteria decision-making problems. In the case of COVID-19 diagnosis, using both physicians’ evaluation
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Ecological, Social and Governance Impact on the Company’s Performance: Information Technology Sector Insight Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-02-05 Alexander M. Karminsky, Alexandra A. Egorova, Daria A. Chigireva
Sustainable topics have become increasingly important in recent years, as the world faces growing environmental and social challenges. Environmental, social, and governance (ESG) ratings are tools used to assess the sustainability practices of companies. This study focuses on the impact of environmental, social and governance components on the financial performance of IT companies. The panel data were
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Multidimensional Analysis of Investment Priorities for Circular Economy with Quantum Spherical Fuzzy Hybrid Modeling Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-01-31 Hasan Dinçer, Serhat Yüksel, Umit Hacıoglu, Babek Erdebilli
Circular economy aims recycling in the production process instead of destroying the products. With the help of this situation, waste can be considered in the remanufacturing process so that the rate of consumption of natural resources can be decreased. It is necessary to focus on certain investment issues to achieve a circular economy, but all investments have some risks. Hence, the economies should
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Grain Temperature Prediction Based on GRU Deep Fusion Model Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2024-01-03 Bo Mao, Shancheng Tao, Bingchan Li
Temperature is an essential quality index in storage. Prediction of temperature can help the grain storage industry to apply the appropriate operations such as ventilation or drying to improve the quality of grain and extend the suitable storage time. Traditional machine learning methods usually cannot accurately predict the temperature data of the grain considering the complexity of environmental
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Discovering High-Risk Bank Risk Factors Based on Risk Matrix Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-12-16 Lu Wei, Xiyuan Miao, Haozhe Jing, Guowen Li
Bank risk management is a crucial issue in the stability of the financial system. How to select high-risk factors that make banks in trouble and how these factors affect bank risks have always been a core problem. Previous studies comprehensively identified bank risk factors from textual risk disclosures and used the disclosure frequency of risk factors to determine important factors to which banks
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Systematic Thinking Approach for Analyzing Individuals and Government Impact on COVID-19 Outbreak in Iran Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-12-16 Peyman Tirandazi, Seyed Mojtaba Hosseini Bamakan, Mohammad Jafar Haddadpoor Jahromi
The world faced a crisis called the coronavirus pandemic, a disease that has been able to disrupt a large proportion of the power and activities of the whole world and has evolved all economic and social decisions. These decisions are primarily related to restrictions such as widespread lockdowns and social distancing. Different countries have taken various approaches and decisions to deal with this
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How China Deals with COVID-19 Pandemic Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-12-15 Yong Shi, Yi Qu, Linzi Zhang
Currently, the whole world is still suffering from the COVID-19 (variants) pandemic that has been lasting for over three years and resulted in countless losses. Since its outbreak at the end of 2019, China has first suffered, but quickly gained the upper hand through strict epidemic control and emergency management. Despite several recurrences of regional epidemics in 2022, both economic growth and
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An Ex-ante Evaluation Model of Urban Renewal Projects for the Sustainability Potential towards TOD and AUD based on a FDEMATEL-GIS-FI Approach Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-08-30 Lai-Chun Zhao, Yu-Yi Zheng, Jing-Yang Lin, Kang Shen, Run-Ting Li, Lei Xiong, Bo-Wei Zhu, Gwo-Hshiung Tzeng
The transit-oriented development (TOD) and arts and culture-led urban development (AUD) have been evolved as two of primary strategies for sustainable urban revitalization. Ex-ante sustainability evaluation has emerged as a crucial procedure in the field of urban renewal to prevent non-sustainable redevelopment projects. However, in the ex-ante evaluation of urban renewal projects, TOD and AUD have
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A Bibliometric Overview and Visualization of the International Journal of Information Technology and Decision Making Between 2012 and 2022 Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-08-11 Huchang Liao, Xiaowan Jin, Yong Shi, Gang Kou
The International Journal of Information Technology and Decision Making (IJITDM) was launched in 2002 to study how the information technology and decision-making technique affect each other. To summarize the progress of the journal in the latest 11 years, a bibliometric overview of the IJITDM publications from 2012 to 2022 is provided to identify the conceptual evolution and development situation of
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An Integrated Approach Based on MADM and MODM for Order Picking System Considering Human Factors Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-08-08 Fatemeh Nikkhoo, Ali Husseinzadeh Kashan, Bakhtiar Ostadi, Ehsan Nikbakhsh
Optimizing order-picking systems (OPSs) while considering human factors and integrating key decisions is a major challenge for warehouse managers. This study presents a two-stage framework based on multi-attribute decision-making (MADM) and multi-objective decision-making (MODM) models to integrate decisions on picker selection, order batching, batch assignment, picker routing, and scheduling. In the
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Analyzing the Role of Class Rebalancing Techniques in Software Defect Prediction Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-08-04 Yousef Alqasrawi, Mohammad Azzeh, Yousef Elsheikh
Predicting software defects is an important task during software testing phase, especially for allocating appropriate resources and prioritizing testing tasks. Typically, classification algorithms are used to accomplish this task by using previously collected datasets. However, these datasets suffer from imbalanced label distribution where clean modules outnumber defective modules. Traditional classification
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SSTSA: A Self-Supervised Topic Sentiment Analysis Using Semantic Similarity Measures and Transformers Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-08-02 Azam Seilsepour, Reza Ravanmehr, Ramin Nassiri
The exponentially increasing amount of data generated by the public on social media platforms is a precious source of information. It can be used to find the topics and analyze the comments. Some researchers have extended the Latent Dirichlet Allocation (LDA) method by adding a sentiment layer to simultaneously find the topics and their related sentiments. However, most of these approaches do not achieve
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ERP System Evaluation in the Defense Industry: A Hybridized Spherical Fuzzy AHP-Codas Approach Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-29 Emine Elif Nebati, Berk Ayvaz, Ali Osman Kusakci
Design/methodology/approach: Converting data into information and its diffusion along all organization units has become a vital survival skill. At this point, an ERP system provides an invisible network among a company’s internal and external stakeholders and plays a strategic role. Moreover, ERP systems offer some advantages. For example, integrating financial, customer, and order information, speeding
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An Effective Multi-Criteria Decision-Making Approach for Allocation of Resources in the Fog Computing Environment Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-29 Shefali Varshney, Rajinder Sandhu, Pradeep Kumar Gupta
Recent advances in Internet technology have shifted the focus of end-users from the usage of traditional mobile applications to the Internet of Things (IoT)-based service-oriented smart applications (SAs). These SAs use edge devices to obtain different types of Fog services and provide their real-time response to the end-users. The Fog computing environment extends its services to the edge network
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Big Data Analytics Implications on Central Banking Green Technological Progress Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-21 Elsadig Musa Ahmed
This paper examines big data analytics implications on the central banking financial system’s technological progress. A digital technological progress framework and model is established to analyze the economy’s aggregate supply via covering the monetary policy, big data analytics, pollutants emissions as independent variables and the economy’s aggregate demand as a moderating variable in a modified
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Intuitionistic SIR Technique with Double Parameters to Detect the Operative Vaccine of COVID-19 Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-20 S. Aicevarya Devi, Felix Augustin
Since 2019, COVID disease threats the world. It originated in China, and due to its easy spread characteristics, it spreads quickly among all the countries. As the world faced a new kind of virus, the government could not control its spread, and the fatality rate had also hugely increased. In 2021, the vaccine for the virus was introduced by various countries, which aids in controlling the spread and
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Company2Vec — German Company Embeddings Based on Corporate Websites Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-20 Christopher Gerling
With Company2Vec, the paper proposes a novel application in representation learning. The model analyzes business activities from unstructured company website data using Word2Vec and dimensionality reduction. Company2Vec maintains semantic language structures and thus creates efficient company embeddings in fine-granular industries. These semantic embeddings can be used for various applications in banking
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Projection-Based Approach for Deriving Decision Makers’ Weights in DEMATEL Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-17 Petra Grošelj
To successfully solve complex real-world problems, decision makers with broad knowledge and experience should be involved in the decision-making process. In this paper, we address the question of how to determine weights of decision makers. The aim of our study is to propose a new approach that derives objective weights for decision makers based on projection method, which emphasizes their agreement
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Hedging Salmon Price Risk Based on Fuzzy Copula-GMM Model Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-17 Xing Yu, Chenya Liu, Weiguo Zhang
Copula method can explain the dependent function or connection function which connects the joint distribution and the univariate marginal distribution. Therefore, copula has recently become a most significant important tool in the financial field of risk management, portfolio allocation, and derivative asset pricing. However, it leads to a possibilistic uncertainty in estimating the parameters of copulas
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A Decision Modeling Approach for Data Acquisition Systems of the Vehicle Industry Based on Interval-Valued Linear Diophantine Fuzzy Set Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-14 M. J. Baqer, H. A. AlSattar, Sarah Qahtan, A. A. Zaidan, Mohd Azri Mohd Izhar, Iraq T Abbas
Modeling data acquisition systems (DASs) can support the vehicle industry in the development and design of sophisticated driver assistance systems. Modeling DASs on the basis of multiple criteria is considered as a multicriteria decision-making (MCDM) problem. Although literature reviews have provided models for DASs, the issue of imprecise, unclear, and ambiguous information remains unresolved. Compared
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Estimation of Missing Entries in Preference Pairwise Matrices Through Nuclear Norm Minimization Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-14 Manuela Scioni, Luigi Fabbris
This paper aims to evaluate the possibility of applying the nuclear norm minimization technique to the problem of incompleteness of an additive preference pairwise matrix. The proposed technique applies to the case of missing values in any position within a matrix of any order, provided that all the alternatives are connected, or equivalently that there is a preference path between each pair of alternatives
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Adopting Social Banking: A Socio-Technical Innovation of Service-Oriented Social Commerce Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-13 Nasibeh Pouti, Mohammad Taghi Taghavifard, Mohammad Reza Taghva, Mohammad Fathian
This study develops a research model to explain the acceptance of social banking. In order to find the antecedents of social banking intention, a meta-combination has been used. The results of a systematic review of the last decade of social commerce acceptance studies and the use of fuzzy Delphi and fuzzy DEMATEL methods led to the development of the model. The obtained model was investigated by the
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Multi-Attribute Decision-Making with Independent Trapezoidal Intuitionistic Fuzzy Information Based on Risk Orientation and Similarity Measure Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-12 Zhangxu Lin, Jian Lin, Zeshui Xu, Yihong Zhou
The strategy production in intuitionistic fuzzy multi-attribute decision-making is influenced by various factors. More realistic data representations are needed to portray ambiguity under increasingly complex decision-making contexts. Firstly, this study proposes a new approach for ranking independent trapezoidal intuitionistic fuzzy numbers based on the risk attitudes of decision-makers. The proposed
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Addressing Societal Challenges Through Analytics: A Framework for Building a Foreclosure Prediction Model Using Publicly-Available Demographic Data, GIS, and Machine Learning Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-12 Dinko Bačić
Information systems (IS) and data analytics-focused academic disciplines remained surprisingly silent in attempting to contribute to a public understanding of critical societal challenges such as foreclosures. This paper tackles the gap by presenting a framework for building foreclosure prediction models by integrating publicly-available census-tract demographic data and readily-available technology
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KAC SegNet: A Novel Kernel-Based Active Contour Method for Lung Nodule Segmentation and Classification Using Dense AlexNet Framework Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-08 Shubham Dodia, B. Annappa, Padukudru A. Mahesh
Lung cancer is known to be one of the leading causes of death worldwide. There is a chance of increasing the survival rate of the patients if detected at an early stage. Computed Tomography (CT) scans are prominently used to detect and classify lung cancer nodules/tumors in the thoracic region. There is a need to develop an efficient and reliable computer-aided diagnosis model to detect lung cancer
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An Integrated Interval Type-2 Fuzzy PROMETHEE-II Decision Model for the Selection of Medical Waste Treatment Techniques Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-06 Jing Tang, Xinwang Liu, Weizhong Wang
The selection of medical waste treatment techniques has become a serious health and safety issue since the amount and variety of medical waste are rapidly increasing during the Corona Virus Disease 2019 (COVID-19) pandemic in the whole world. This paper aims to propose an integrated interval type-2 fuzzy Preference Ranking Organization Method for Enrichment Evaluations-II (PROMETHEE-II) decision model
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Intelligent Decision-Making Framework for Evaluating and Benchmarking Hybridized Multi-Deep Transfer Learning Models: Managing COVID-19 and Beyond Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-06 M. A. Ahmed, Z. T. Al-Qaysi, A. S. Albahri, M. E. Alqaysi, Gang Kou, O. S. Albahri, A. H. Alamoodi, Suad A. Albahri, Alhamzah Alnoor, Mohammed S. Al-Samarraay, Rula A. Hamid, Salem Garfan, Fahd S. Alotaibi
In this study, we developed a novel multi-criteria decision-making (MCDM) framework for evaluating and benchmarking hybrid multi-deep transfer learning models using radiography X-ray coronavirus disease (COVID-19) images. First, we collected and pre-processed eight public databases related to the targeted datasets. Second, convolutional neural network (CNN) models extracted features from 1,338 chest
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Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-05 Imen Jdey, hazala Hcini, Hela Ltifi
Public health initiatives must be made using evidence-based decision-making to have the greatest impact. Machine learning algorithms are created to gather, store, process, and analyze data to provide knowledge and guide decisions. A crucial part of any surveillance system is image analysis. The communities of computer vision and machine learning have become curious about it as of late. This study uses
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Effective Video Event Detection Using Optimized Bidirectional Long Short-Term Memory Network Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-05 Susmitha Alamuru, Sanjay Jain
In recent times, video event detection gained high attention in the researcher’s community, because of its widespread applications. In this paper, a new model is proposed for detecting different human actions in the video sequences. First, the videos are acquired from the University of Central Florida (UCF) 101, Human Motion Database (HMDB) 51 and Columbia Consumer Video (CCV) datasets. In addition
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Factors Affecting the Adoption of Cloud for Software Development: A Case from Turkey Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-04 Erhan Pisirir, Oumout Chouseinoglou, Cüneyt Sevgi, Erkan Uçar
Cloud-based solutions for software development activities have been emerging in the last decade. This study aims to develop a hybrid technology adoption model for cloud use in software development activities. It is based on Technology Acceptance Model (TAM), Technology–Organization–Environment (TOE) framework, and the proposed extension Personal–Organization–Project (POP) structure. The methodology
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Mean-CVaR Portfolio Optimization Models based on Chance Theory Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-07-04 Souad Chennaf, Jaleleddine Ben Amor
The indeterminacy of financial markets leads investors to face different types of security returns. Usually, security returns are assumed to be random variables when sufficient transaction data are available. If data are missing, they can be regarded as uncertain variables. However, uncertainty and randomness coexist. In this situation, chance theory is the main tool to deal with this complex phenomenon
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Design & Development of Hybrid Electric Fish-Harris Hawks Optimization-Based Privacy Preservation of Data in Supply Chain Network with Block Chain Technology Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-30 Yedida Venkata Rama Subramanya Viswanadham, Kayalvizhi Jayavel
Due to the expansion of privacy protection, and data sharing gets complicated and is known to be a hot issue in the research areas. Many business scenarios in the supply chain network have been highly important in research areas. Especially, blockchain technology ensures the essential solution in the supply chain network for securing information sharing. Yet, it is difficult to maintain security at
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Assessment of Financial Systemic Crisis on a Causal and Reliable Perspective Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-30 Yafei Wang, Zhengming Zhou, Xiao Cao
In financial network models, to assess systemic risk, a general understanding and prediction of precisely how a single financial institution is associated with systemic risk from the network perspective remains lacking. This paper proposes a framework for predicting and assessing system crises through inferring the cause–effect relationships between financial institutions and system state, which is
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A Modified Manta Ray Foraging Algorithm for Edge Server Placement in Mobile Edge Computing Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-30 Walaa H. El-Ashmawi, Ahmed F. Ali, Ahmed Ali
Owing to the rapid growth of the Internet of Things (IoT) and mobile devices, big data has been generated, and a cloud computing system is required to manipulate it. The main issue in this system is the access delay (AD) when the IoT and mobile devices offload their workload on the servers and the workload balance among them. Mobile edge computing (MEC), which has a sufficient distribution of edge
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A Personalized Individual Semantic Extraction Model Based on Criterion for Adaptive Consensus Reaching Process Under Improved Basic Uncertain Linguistic Environment Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-30 Mengmeng Zhu, Junjun Mao, Wei Xu
Personalized individual semantics (PIS) is an important factor reflecting the personal habits of decision makers (DMs) and has been widely studied by scholars. Using criteria as a non-negligible information source in multi-criteria group decision making (MCGDM), how to extract PIS from it is a research gap to be solved. In addition, existing measurements of consensus are insufficiently sensitive to
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A Novel Integrated Neutrosophic Cosine Operator Based Linear Programming ANP-EDAS MCGDM Strategy to Select Anti-Pegasus Software Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-28 Baisakhi Banik, Shariful Alam, Avishek Chakraborty
In this paper, we have established Cosine Trigonometric Operational Law (CTOL) and constructed Cosine Trigonometric Neutrosophic Weighted Averaging (CT-NWA) operator in the domain of generalized neutrosophic environment, which has been endorsed in a Multi-Criteria Group Decision Making (MCGDM) technique to select the best Anti-Pegasus software. In this study, the expertize recommendations and public
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Fuzzy DEMATEL-ANP-Based Approach for Determining the CRM Readiness Factors Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-23 Dorna Jazebi Moghaddam, Zeinab Sazvar, Abbas Keramati
Research in Customer Relationship Management (CRM) in the healthcare sector is in a developing stage and demands further research to get more in-depth insight. We present a comprehensive model to develop and prioritize CRM readiness factors in hospitals using fuzzy DEMATEL-ANP, which helps top managers allocate their limited resources to enhance the required infrastructure for a CRM system. After extracting
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Identifying and Evaluating Factors Affecting User Privacy in the Smart City Using the Meta-Synthesis Method and the Fuzzy Dematel Technique Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-16 Ruhollah Bagheri, Mahmoud Zahedian Nezhad, Mohammad Hosein Panahi Rizi, Mosayeb Sadri
Smart cities are becoming increasingly popular today due to various digital technologies in their infrastructure. One of the most critical challenges in the proper implementation and establishment of these cities is the violation of the security and privacy of users, which leads to citizens’ distrust and pessimism about smart city services. Many factors can affect the protection of users’ privacy.
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Linear Step-adjusting Programming in Factor Space Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-15 Jing He, Hui Zheng, Rozbeh Zarei, Ho-Chung Lui, Qi-Wei Kong, Yi-Mu Ji, Xingsen Li, Hailong Yang, Baorui Du, Yong Shi, Pingjiang Wang, Andre van Zundert
Intelligent behavior that appears in a decision process can be treated as a point y, the dynamic state observed and controlled by the agent, moving in a factor space impelled by the goal factor and blocked by the constraint factors. Suppose that the feasible region is cut by a group of hyperplanes, when point y reaches the region’s wall, a hyperplane will block the moving, and the agent needs to adjust
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A Comprehensive Approach for Failure Mode and Effect Analysis Under Probabilistic Interval-Value Fuzzy Environment Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-07 Jing Guo, Wenfeng Li, Xianjun Zhu, Hui Li
To address the ambiguity, uncertainty, and imprecision inherent in failure mode and effect analysis (FMEA) assessments, we propose a probabilistic interval-value term set (PIVTS) to express decision-makers’ evaluations. This approach allows decision makers to express their quantitative assessments using interval-value terms with probabilities, providing a more comprehensive and expressive representation
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SPEEDSER: A Possibilistic System for Query Disambiguation, Expansion and Translation Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-06-07 Bilel Elayeb, Oussama Ben Khiroun
We design, implement and assess in this paper a new architecture of a possibilistic mono- and cross-language information retrieval (IR/CLIR) system. The latter is useful to experiment query disambiguation, expansion and translation processes in both IR and CLIR frameworks. We take advantage of possibility theory to overcome the problems of query disambiguation and expansion in an uncertain and imprecise
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An Accelerated Variable Stage Size Carry Skip Adder Realization Using 1S1R Resistive Memory Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-05-23 U. Dilna, S. N. Prasad
In-memory computing is the method of running computer computations completely in memory. Memristive device (e.g., 1 selector-1 resistor (1S1R)) is preferably utilized for in-memory computing with the appearance of hybrid CMOS nano-crossbar arrays. The parallelism of resistive arrays is considered in parallel adder designs to reduce the critical path delay. However, they minimize latency at the cost
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Sustainable Development Evaluation of Cultural and Creative Industries Using a Neutrosophic-Based Dematel–Topsis Approach Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-05-16 Chia-Chi Chang, Chun-Jui Pai, Huai-Wei Lo
Nowadays, national governments and international organizations are increasingly interested in the sustainable development of the cultural and creative industries through the integration of culture, art, science, and education and their influence on local economic and cultural development and promotion. However, to the best of our knowledge, only few studies have proposed a comprehensive framework based
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Strategies to Selecting Most Profitable Products by Price Settings Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-05-17 Liang Kuang Tai, Arbee L. P. Chen
For a company, it is important to know which products to launch to the market that may get the maximal profit. To achieve this goal, companies not only need to consider these products’ features, but also need to analyze how customers make their purchase decisions. For most customers, the price of a product is the most important purchase factor. If the price of a product can be adjusted, the purchase
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A Hybrid Algorithm of Ant Colony and Benders Decomposition for Large-Scale Mixed-Integer Linear Programming Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-05-05 He Han, Jie Cao, Ya-Jing Wang
We propose a hybrid approach for solving problems of mixed-integer linear programming with two types of variables (MILPTTV). The hybrid approach includes three algorithms: (1) Benders decomposition; (2) the ant colony algorithm; (3) the feasible heuristic method. We decompose the programming problem into a master problem and a subproblem using Benders decomposition. The ant colony algorithm generates
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Identifying Causal Relationships in a Strategy Map Using ANP and Multi-Objective Integer Optimization Model Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-29 Luis E. Quezada, Héctor López-Ospina, Miguel Ángel González, Astrid Oddershede, Pedro Palominos
This paper presents a method for identifying causal relationships between strategic objectives within a strategy map of a Balanced Scorecard. Strategy maps are modeled as a network of strategic objectives (nodes) and causal relationships (directed arcs). The nodes are also grouped into clusters that represent the perspectives of a Balanced Scorecard: (a) Finances, Clients, Internal Processes and Growth
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An Entity Extraction and Categorization Technique on Twitter Streams Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-27 Senthil Kumar Narayanasamy, Maiga Chang
As social media platforms have gained huge momentum in recent years, the amount of information generated from the social media sites is growing exponentially and gives the information retrieval systems a great challenge to extract the potential named entities. Researchers have utilized the semantic annotation mechanism to retrieve the entities from the unstructured documents, but the mechanism returns
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A Neutrosophic Decision-Making Model for Determining Young People’s Active Engagement Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-26 Mihaela Colhon, Monica Tilea, Ana González-Marcos, Alina Reşceanu, Florentin Smarandache, Fermín Navaridas-Nalda
Young people’s skills and attitudes must be observed, studied and evaluated in order to create appropriate models that would serve an educational purpose. In this paper, we propose a decision-making model with the aim to detect certain attitudinal and behavioral patterns of actively engaged young people. The data used in this research resulted from a questionnaire drawn up by a group of researchers
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The Impact of Digitalization on the Financial Performance of Small- and Medium-Sized Enterprises: Empirical Evidence from an Emerging Economy Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-17 Hiep Ngoc Luu, Dam Duc Le, Vu Hoang Nam, Phung Bao Ngoc Van
Digitalization is increasingly embracing nearly every part of our private and professional lives. However, whether digitalization is deemed to be a necessity that can boost the performances of small- and mid-size enterprises (SMEs) or it is a frivolous costly investment that hinders corporate activities is still unclear. This paper examines the impact of digitalization on the financial performance
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A Hybrid Evaluation Model for e-Learning Platforms Based on Extended TOE Framework Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-12 Qi Ma, Chin-Tsai Lin, Zhixuan Chen
E-learning platforms (ELPs) are revolutionizing the higher education system, as they offer tremendous potential to fulfill instructional plans, safeguard students’ learning rights, and improve teaching quality. Higher education institutions (HEIs) have to consider the selection of ELPs from an organizational perspective, which involves multiple stakeholders like university administrators, students
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Comprehensive Evaluation of Hazardous Solid Waste Treatment and Disposal Technologies by a New Integrated AHP&MARCOS Approach Int. J. Inf. Technol. Decis. Mak. (IF 4.9) Pub Date : 2023-04-12 Elanur Adar Yazar, Tuba Adar, Elif Kilic-Delice
Hazardous waste management (HWM) deals with processing waste materials, and improper handling of this procedure might considerably harm human health and environment. It is crucial to employ the most appropriate treatment and disposal techniques while handling with waste materials as part of hazardous waste management so that potential problems can be minimized accordingly. Therefore, the weights of