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Review and Computational Study on Practicality of Derivative-Free DIRECT-Type Methods Informatica (IF 2.9) Pub Date : 2024-03-26 Linas Stripinis, Remigijus Paulavičius
Derivative-free DIRECT-type global optimization algorithms are increasingly favoured for their simplicity and effectiveness in addressing real-world optimization challenges. This review examines their practical applications through a systematic analysis of scientific journals and computational studies. In particular, significant challenges in reproducibility have been identified with practical problems
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An Extended EDAS Approach Based on Cumulative Prospect Theory for Multiple Attributes Group Decision Making with Interval-Valued Intuitionistic Fuzzy Information Informatica (IF 2.9) Pub Date : 2024-03-15 Jing Wang, Qiang Cai, Guiwu Wei, Ningna Liao
The interval-valued intuitionistic fuzzy sets (IVIFSs), based on the intuitionistic fuzzy sets (IFSs), combine the classical decision method and its research and application is attracting attention. After a comparative analysis, it becomes clear that multiple classical methods with IVIFSs’ information have been applied to many practical issues. In this paper, we extended the classical EDAS method based
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Performance Evaluation of Different Dispatching Rules and Heuristics in a Fully Automated Parking System Informatica (IF 2.9) Pub Date : 2024-03-12 Nurhan Dudakli, Adil Baykasoğlu
Conventional parking lots struggle to meet demand, prompting the rise of Fully Automated Parking Systems (FAPS), offering eco-friendly alternatives with advanced technology. However, operational challenges persist, especially in planning and scheduling. Real-time responsiveness necessitates dispatching rules and heuristics. This study comprehensively explores FAPS operational dynamics, assessing various
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Location Selection of Electric Vehicle Charging Stations Through Employing the Spherical Fuzzy CoCoSo and CRITIC Technique Informatica (IF 2.9) Pub Date : 2024-03-08 Rong Yan, Yongguang Han, Huiyuan Zhang, Cun Wei
Energy conservation and emission reduction are important policies vigorously promoted in China. With the continuous popularization of the concept of green transportation, electric vehicles have become a green transportation tool with good development prospects, greatly reducing the pressure on the environment and resources caused by rapid economic growth. The development status of electric vehicles
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Leakage-Resilient Hybrid Signcryption in Heterogeneous Public-key Systems Informatica (IF 2.9) Pub Date : 2024-03-06 Ting-Chieh Ho, Yuh-Min Tseng, Sen-Shan Huang
Signcryption integrates both signature and encryption schemes into single scheme to ensure both content unforgeability (authentication) and message confidentiality while reducing computational complexity. Typically, both signers (senders) and decrypters (receivers) in a signcryption scheme belong to the same public-key systems. When signers and decrypters in a signcryption scheme belong to heterogeneous
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MINI Element for the Navier–Stokes System in 3D: Vectorized Codes and Superconvergence Informatica (IF 2.9) Pub Date : 2024-02-23 Radek Kučera, Vladimír Arzt, Jonas Koko
A fast vectorized codes for assembly mixed finite element matrices for the generalized Navier–Stokes system in three space dimensions in the MATLAB language are proposed by the MINI element. Vectorization means that the loop over tetrahedra is avoided. Numerical experiments illustrate computational efficiency of the codes. An experimental superconvergence rate for the pressure component is established
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Shadow Minimization Boolean Function Reconstruction Informatica (IF 2.9) Pub Date : 2024-02-14 Levon Aslanyan, Gyula Katona, Hasmik Sahakyan
A special class of monotone Boolean functions coming from shadow minimization theory of finite set-systems – KK-MBF functions – is considered. These functions are a descriptive model for systems of compatible groups of constraints, however, the class of all functions is unambiguously complex and it is sensible to study relatively simple subclasses of functions such as KK-MBF. Zeros of KK-MBF functions
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Interval-Valued Pythagorean Fuzzy Extension of DEMATEL for Prioritizing and Casualty Analysis of Environmental Criteria of Organizational Behaviour in Higher Education Sector Informatica (IF 2.9) Pub Date : 2023-12-06 Jafar Torkzadeh, Dragan Pamucar, Sadegh Niroomand
In this study, effect of the environmental factors on the organizational behaviour in higher education sector is analysed and these factors are prioritized. For this aim, first, the environmental criteria affecting the organizational behaviour of higher education sector are selected from the literature. Then, as a solution methodology, (i) some experts are asked to determine pairwise comparison of
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Selection of Suitable Cloud Vendors for Health Centre: A Personalized Decision Framework with Fermatean Fuzzy Set, LOPCOW, and CoCoSo Informatica (IF 2.9) Pub Date : 2023-11-23 Sundararajan Dhruva, Raghunathan Krishankumar, Edmundas Kazimieras Zavadskas, Kattur Soundarapandian Ravichandran, Amir H. Gandomi
Cloud computing has emerged as a transformative technology in the healthcare industry, but selecting the most suitable CV (“cloud vendor”) remains a complex task. This research presents a decision framework for CV selection in the healthcare industry, addressing the challenges of uncertainty, expert hesitation, and conflicting criteria. The proposed framework incorporates FFS (“Fermatean fuzzy set”)
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A Novel Entropy Measure with its Application to the COPRAS Method in Complex Spherical Fuzzy Environment Informatica (IF 2.9) Pub Date : 2023-11-20 Ebru Aydoğdu, Başak Aldemir, Elif Güner, Halis Aygün
A complex spherical fuzzy set (CSFS) is a generalization of the spherical fuzzy set (SFS) to express the two-dimensional ambiguous information in which the range of positive, neutral and negative degrees occurs in the complex plane with the unit disk. Considering the vital importance of the concept of CSFSs which is gaining massive attention in the research area of two-dimensional uncertain information
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Circular Intuitionistic Fuzzy ELECTRE III Model for Group Decision Analysis Informatica (IF 2.9) Pub Date : 2023-11-17 Binyamin Yusoff, Dian Pratama, Adem Kilicman, Lazim Abdullah
ELECTRE III is a well-established outranking relation model used to address the ranking of alternatives in multi-criteria and multi-actor decision-making problems. It has been extensively studied across various scientific fields. Due to the complexity of decision-making under uncertainty, some higher-order fuzzy sets have been proposed to effectively model this issue. Circular Intuitionistic Fuzzy
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An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering Informatica (IF 2.9) Pub Date : 2023-11-07 Nicolás C. Cruz, Savíns Puertas-Martín, Juana L. Redondo, Pilar M. Ortigosa
Ligand-Based Virtual Screening accelerates and cheapens the design of new drugs. However, it needs efficient optimizers because of the size of compound databases. This work proposes a new method called Tangram CW. The proposal also encloses a knowledge-based filter of compounds. Tangram CW achieves comparable results to the state-of-the-art tools OptiPharm and 2L-GO-Pharm using about a tenth of their
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A Data Quality Model for Master Data Repositories Informatica (IF 2.9) Pub Date : 2023-11-06 Fernando Gualo, Ismael Caballero, Moisés Rodríguez, Mario Piattini
Master data has been revealed as one of the most potent instruments to guarantee adequate levels of data quality. The main contribution of this paper is a data quality model to guide repeatable and homogeneous evaluations of the level of data quality of master data repositories. This data quality model follows several international open standards: ISO/IEC 25012, ISO/IEC 25024, and ISO 8000-1000, enabling
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Quantified Products: Case Studies, Features and their Design Implications Informatica (IF 2.9) Pub Date : 2023-10-12 Kurt Sandkuhl
In many industrial sectors, the current digitalization trend resulted in new products and services that exploit the potential of built-in sensors, actuators, and control systems. The business models related to these products and services usually are data-driven and integrated into digital ecosystems. Quantified products (QP) are a new product category that exploits data of individual product instances
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Circular Pythagorean Fuzzy Sets and Applications to Multi-Criteria Decision Making Informatica (IF 2.9) Pub Date : 2023-09-18 Mahmut Can Bozyi˙ği˙t, Murat Olgun, Mehmet Ünver
In this paper, we introduce the concept of circular Pythagorean fuzzy set (value) (C-PFS(V)) as a new generalization of both circular intuitionistic fuzzy sets (C-IFSs) proposed by Atannassov and Pythagorean fuzzy sets (PFSs) proposed by Yager. A circular Pythagorean fuzzy set is represented by a circle that represents the membership degree and the non-membership degree and whose centre consists of
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Fog Computing in Healthcare: Systematic Review Informatica (IF 2.9) Pub Date : 2023-09-15 Dalius Navakauskas, Mantas Kazlauskas
Healthcare has seen many advances in sensor technology, but with recent improvements in networks and the addition of the Internet of Things, it is even more promising. Current solutions to managing healthcare data with cloud computing may be unreliable at the most critical moments. High response latency, large volumes of data, and security are the main issues of this approach. The promising solution
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A New Decision Making Method for Selection of Optimal Data Using the Von Neumann-Morgenstern Theorem Informatica (IF 2.9) Pub Date : 2023-09-14 Julia GarcÍa Cabello
The quality of the input data is amongst the decisive factors affecting the speed and effectiveness of recurrent neural network (RNN) learning. We present here a novel methodology to select optimal training data (those with the highest learning capacity) by approaching the problem from a decision making point of view. The key idea, which underpins the design of the mathematical structure that supports
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A Unified Multiplicative Group Best-Worst Method with a New Assessment Approach for Dissimilar Markets Informatica (IF 2.9) Pub Date : 2023-09-07 Tankut Atan, Gül Tekin Temur
The Best-Worst Method (BWM) is a recently introduced, innovative multi-criteria decision-making (MCDM) technique used to determine criterion weights for selection processes. However, another method is needed to complete the selection of the most preferred alternative. In this research, we propose a group decision-making methodology based on the multiplicative BWM to make this selection. Furthermore
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Causal Inference Applied to Explaining the Appearance of Shadow Phenomena in an Image Informatica (IF 2.9) Pub Date : 2023-09-01 Jairo Ivan Vélez Bedoya, Manuel Andres González Bedia, Luis Fernando Castillo Ossa, Jeferson Arango López, Fernando Moreira
Due to the complexity and lack of transparency of recent advances in artificial intelligence, Explainable AI (XAI) emerged as a solution to enable the development of causal image-based models. This study examines shadow detection across several fields, including computer vision and visual effects. Three-fold approaches were used to construct a diverse dataset, integrate structural causal models with
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An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems Informatica (IF 2.9) Pub Date : 2023-08-28 Partha Pratim Deb, Diptendu Bhattacharya, Indranath Chatterjee, Prasenjit Chatterjee, Edmundas Kazimieras Zavadskas
Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on several criteria like usability, functionality, e-learning
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Quasi-Owen Value for Games on Augmenting Systems with a Coalition Structure Informatica (IF 2.9) Pub Date : 2023-08-25 Jie Tang, Zijun Li, Fanyong Meng
This paper focuses on games on augmenting systems with a coalition structure that can be seen as an extension of games with a coalition structure and games on augmenting systems. Considering the player payoffs, the quasi-Owen value is defined. To show the rationality of this payoff index, five representative axiomatic systems are established. The population monotonic allocation scheme (PMAS) and the
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Multi-Querying: A Subsequence Matching Approach to Support Multiple Queries Informatica (IF 2.9) Pub Date : 2023-06-28 Wen Liu, Mingrui Ma, Peng Wang
The widespread use of sensors has resulted in an unprecedented amount of time series data. Time series mining has experienced a particular surge of interest, among which, subsequence matching is one of the most primary problem that serves as a foundation for many time series data mining techniques, such as anomaly detection and classification. In literature there exist many works to study this problem
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A Robust and High-Capacity Coverless Information Hiding Based on Combination Theory Informatica (IF 2.9) Pub Date : 2023-06-15 Kurnia Anggriani, Shu-Fen Chiou, Nan-I Wu, Min-Shiang Hwang
Many confidential multimedia, such as personal privacy, commercial, and military secrets, are transmitted on the Internet. To prevent this confidential multimedia from being eavesdropped on by illegal users, information-hiding technology is a leading research topic nowadays. One of the important research topics of information-hiding technology is coverless information hiding, which utilizes the unchanged
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On Order Policies for a Perishable Product in Retail Informatica (IF 2.9) Pub Date : 2023-06-01 Eligius M.T. Hendrix, Karin G.J. Pauls-Worm, Maartje V. de Jong
We study an inventory control problem of a perishable product with a fixed short shelf life in Dutch retail practice. The demand is non-stationary during the week but stationary over the weeks, with mixed LIFO and FIFO withdrawal. The supermarket uses a service level requirement. A difficulty is that the age-distribution of products in stock is not always known. Hence, the challenge is to derive practical
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Linguistic Single-Valued Neutrosophic Multi-Criteria Group Decision Making Based on Personalized Individual Semantics and Consensus Informatica (IF 2.9) Pub Date : 2023-05-26 Zhang-Peng Tian, Fu-Xin Xu, Ru-Xin Nie, Xiao-Kang Wang, Jian-Qiang Wang
In practical linguistic multi-criteria group decision-making (MCGDM) problems, words may indicate different meanings for various decision makers (DMs), and a high level of group consensus indicates that most of the group members are satisfied with the final solution. This study aims at developing a novel framework that considers the personalized individual semantics (PISs) and group consensus of DMs
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Deriving Homogeneous Subsets from Gene Sets by Exploiting the Gene Ontology Informatica (IF 2.9) Pub Date : 2023-05-22 Quirin Stier, Michael C. Thrun
The Gene Ontology (GO) knowledge base provides a standardized vocabulary of GO terms for describing gene functions and attributes. It consists of three directed acyclic graphs which represent the hierarchical structure of relationships between GO terms. GO terms enable the organization of genes based on their functional attributes by annotating genes to specific GO terms. We propose an information-retrieval
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TOPSIS Methods for Probabilistic Hesitant Fuzzy MAGDM and Application to Performance Evaluation of Public Charging Service Quality Informatica (IF 2.9) Pub Date : 2023-04-26 Quan-Song Qi
The performance evaluation of public charging service quality is frequently viewed as the multiple attribute group decision-making (MAGDM) issue. In this paper, an extended TOPSIS model is established to provide new means to solve the performance evaluation of public charging service quality. The TOPSIS method integrated with FUCOM method in probabilistic hesitant fuzzy circumstance is applied to rank
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A Lance Distance-Based MAIRCA Method for q-Rung Orthopair Fuzzy MCDM with Completely Unknown Weight Information Informatica (IF 2.9) Pub Date : 2023-04-24 Haolun Wang, Tingjun Xu, Dragan Pamucar, Xuxiang Li, Liangqing Feng
The purpose of this manuscript is to develop a novel MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method to solve the MCDM (Multiple Criteria Decision-Making) problems with completely unknown weights in the q-rung orthopair fuzzy (q-ROF) setting. Firstly, the new concepts of q-ROF Lance distance are defined and some related properties are discussed in this paper, from which we establish
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A Novel Z-Fuzzy AHP&EDAS Methodology and Its Application to Wind Turbine Selection Informatica (IF 2.9) Pub Date : 2023-03-30 Nurdan Tüysüz, Cengiz Kahraman
Modelling the reliability information in decision making process is an important issue to inclusively reflect the thoughts of decision makers. The Evaluation Based on Distance from Average Solution (EDAS) and Analytic Hierarchy Process (AHP) are frequently used MCDM methods, yet their fuzzy extensions in the literature are incapable of representing the reliability of experts’ fuzzy preferences, which
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Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty Informatica (IF 2.9) Pub Date : 2023-03-27 Sina Salimian, Seyed Meysam Mousavi, Zenonas Turskis
This study introduces a new multi-criteria group decision-making model in organ transplant transportation networks under uncertain situations. A new combined weighting approach is presented to obtain expert weights with various kinds of opinions by integrating similarity measure and subjective judgments of experts. Also, the CRITIC approach is given to obtain transportation criteria weights. Finally
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Isomorphism Between Two Vector General Fuzzy Automata Informatica (IF 2.9) Pub Date : 2023-03-23 Marzieh Shamsizadeh, Ehsan Movahednia, Manuel De la Sen
In this paper, at first, we define the notion of general fuzzy automaton over a field; we call this automaton vector general fuzzy automaton (VGFA). Moreover, we present the concept of max-min vector general fuzzy automaton. We show that if two max-min VGFA are similar, they constitute an isomorphism. After that, we prove that if two VGFA constitute an isomorphism with threshold α, they are equivalent
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Providing a Framework for Evaluating the Quality of Health Care Services Using the HealthQual Model and Multi-Attribute Decision-Making Under Imperfect Knowledge of Data Informatica (IF 2.9) Pub Date : 2023-03-13 Mehrdad Estiri, Jalil Heidary Dahooie, Edmundas Kazimieras Zavadskas
Due to the increasing importance of evaluating the quality of health care services using the patient-centred approach, this study aimed to propose a novel framework by combining the SERVQUAL model and multi-attribute decision-making (MADM) methods using interval-valued triangular fuzzy numbers (IVTFN). In this study, after an initial overview of related work and expert opinions, a list of the most
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A Systematic Literature Review of MABAC Method and Applications: An Outlook for Sustainability and Circularity Informatica (IF 2.9) Pub Date : 2023-02-28 Ali Ebadi Torkayesh, Erfan Babaee Tirkolaee, Aram Bahrini, Dragan Pamucar, Amir Khakbaz
Multiple Criteria Decision-Making (MCDM) is one of the most reliable and applicable decision-making tools to address real-life complex and multi-dimensional problems in accordance with the concepts of sustainable development and circular economy. Although there have been several literature reviews on several MCDM methods, there is a research gap in conducting a literature review on the Multi-Attributive
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Burst Ratio of Packet Losses in Individual Network Flows Informatica (IF 2.9) Pub Date : 2023-02-08 Andrzej Chydzinski, Blazej Adamczyk
We study the burst ratio of packet loss processes in networking. This parameter characterizes the inclination of packet losses to form long, consecutive sequences. Such long sequences of losses may have a negative impact on multimedia streams, particularly those of real-time type. In packet networks, the burst ratio is often elevated due to overflows of packet buffers, which are present in all routers
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A Brief Survey of Clipping and Intersection Algorithms with a List of References (including Triangle-Triangle Intersections) Informatica (IF 2.9) Pub Date : 2023-01-27 Vaclav Skala
This contribution presents a brief survey of clipping and intersection algorithms in ${E^{2}}$ and ${E^{3}}$ with a nearly complete list of relevant references. Some algorithms use the projective extension of the Euclidean space and vector-vector operations, which support GPU and SSE use.This survey is intended to help researchers, students, and practitioners dealing with intersection and clipping
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Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing Informatica (IF 2.9) Pub Date : 2023-01-10 Ramon Sanchez-Iborra, Abdeljalil Zoubir, Abderahmane Hamdouchi, Ali Idri, Antonio Skarmeta
The coordinated integration of heterogeneous TinyML-enabled elements in highly distributed Internet of Things (IoT) environments paves the way for the development of truly intelligent and context-aware applications. In this work, we propose a hierarchical ensemble TinyML scheme that permits system-wide decisions by considering the individual decisions made by the IoT elements deployed in a certain
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Fully Continuous Leakage-Resilient Certificate-Based Signcryption Scheme for Mobile Communications Informatica (IF 2.9) Pub Date : 2022-12-19 Yuh-Min Tseng, Tung-Tso Tsai, Sen-Shan Huang
Due to the popularity of mobile communication, many computing devices are exposed to remote environments without physical protection so that these devices easily suffer from leakage attacks (e.g., side-channel attacks). Under such leakage attacks, when a computing device performs some cryptographic algorithm, an adversary may acquire partial bits of secret keys participated in this cryptographic algorithm
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A Hybrid IF-FUCOM-GRA Approach and its Application to Determine Optimal Bacterial Concentrations on Mortar at Optimal Curing Day Informatica (IF 2.9) Pub Date : 2022-12-19 Srila Dey, Florentin Smarandache, Rama Debbarma, Priyanka Majumder
In this study, Intuitionistic Fuzzy Consistency Method (IF-FUCOM) and Grey Relation Analysis (GRA) were combined to assess the effects of Bacillus subtilis bacteria on concrete properties, as well as to determine the optimal bacteria concentration and curing day. Three different concentrations of bacteria were added to the mortar mixes, like 103, 105, and 107 cells/ml of water. Mortar samples were
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CBC Mode of MPF Based Shannon Cipher Defined Over a Non-Commuting Platform Group Informatica (IF 2.9) Pub Date : 2022-12-09 Aleksejus Mihalkovich, Matas Levinskas, Lina Dindiene, Eligijus Sakalauskas
Commonly modern symmetric encryption schemes (e.g. AES) use rather simple actions repeated many times by defining several rounds to calculate the ciphertext. An idea we previously offered was to trade these multiple repeats for one non-linear operation. Recently we proposed a perfectly secure symmetric encryption scheme based on the matrix power function (MPF). However, the platform group we used was
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SUVS: Secure Unencrypted Voting Scheme Informatica (IF 2.9) Pub Date : 2022-12-07 Antonio M. Larriba, Damián López
In this paper, we propose a light-weight electronic voting protocol. The approach used by our protocol to conceal the ballots does not imply encryption, and guarantees the privacy of the direction of the vote unless all the contestants (parties) agree to do so. Our method is based on the division of the ballot into different pieces of information, which separately reveal no information at all, and
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An Overview of Lithuanian Intonation: A Linguistic and Modelling Perspective Informatica (IF 2.9) Pub Date : 2022-12-06 Gerda Ana Melnik-Leroy, Jolita Bernatavičienė, Gražina Korvel, Gediminas Navickas, Gintautas Tamulevičius, Povilas Treigys
Intonation is a complex suprasegmental phenomenon essential for speech processing. However, it is still largely understudied, especially in the case of under-resourced languages, such as Lithuanian. The current paper focuses on intonation in Lithuanian, a Baltic pitch-accent language with free stress and tonal variations on accented heavy syllables. Due to historical circumstances, the description
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Multi-Spectral Imaging for Weed Identification in Herbicides Testing Informatica (IF 2.9) Pub Date : 2022-11-30 Luis O. López, Gloria Ortega, Francisco Agüera-Vega, Fernando Carvajal-Ramírez, Patricio Martínez-Carricondo, Ester M. Garzón
A new methodology to help to improve the efficiency of herbicide assessment is explained. It consists of an automatic tool to quantify the percentage of weeds and plants of interest (sunflowers) that are present in a given area. Images of the crop field taken from Sequoia camera were used. Firstly, the quality of the images of each band is improved. Later, the resulting multi-spectral images are classified
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An Uncertain Multiple-Criteria Choice Method on Grounds of T-Spherical Fuzzy Data-Driven Correlation Measures Informatica (IF 2.9) Pub Date : 2022-11-28 Jih-Chang Wang, Ting-Yu Chen
T-spherical fuzzy (T-SF) sets furnish a constructive and flexible manner to manifest higher-order fuzzy information in realistic decision-making contexts. The objective of this research article is to deliver an original multiple-criteria choice method that utilizes a correlation-focused approach toward computational intelligence in uncertain decision-making activities with T-spherical fuzziness. This
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Taxonomy Method for Multiple Attribute Group Decision Making Under the Spherical Fuzzy Environment Informatica (IF 2.9) Pub Date : 2022-09-26 Fengxia Diao, Qiang Cai, Guiwu Wei
In recent years, the multi-attribute group decision making (MAGDM) problem has received extensive attention and research, and it plays an increasingly important role in our daily life. Fuzzy environment provides a more accurate decision-making environment for decision makers, so the research on MAGDM problem under fuzzy environment sets (SFSs) has become popular. Taxonomy method has become an effective
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q-Rung Orthopair Fuzzy Improved Power Weighted Operators For Solving Group Decision-Making Issues Informatica (IF 2.9) Pub Date : 2022-09-22 Abhijit Saha, Fatih Ecer, Prasenjit Chatterjee, Tapan Senapati, Edmundas Kazimieras Zavadskas
This paper proposes a new multi-criteria group decision-making (MCGDM) method utilizing q-rung orthopair fuzzy (qROF) sets, improved power weighted operators and improved power weighted Maclaurin symmetric mean (MSM) operators. The power weighted averaging operator and power weighted Maclaurin symmetric mean (MSM) operator used in the existing MCGDM methods have the drawback of being unable to distinguish
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Bounded Rational Reciprocal Preference Relation for Decision Making Informatica (IF 2.9) Pub Date : 2022-09-06 Lisheng Jiang, Huchang Liao
Fuzzy relations have been widely applied in decision making process. However, the application process requires people to have a high level of ability to compute and infer information. As people usually have limited ability of computing and inferring, the fuzzy relation needs to be adapted to fit the abilities of people. The bounded rationality theory holding the view that people have limited rationality
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Novel Comprehensive MEREC Weighting-Based Score Aggregation Model for Measuring Innovation Performance: The Case of G7 Countries Informatica (IF 2.9) Pub Date : 2022-09-05 Fatih Ecer, Ejder Aycin
Innovation can be the greatest hope of overcoming economic challenges. This paper aims to evaluate countries concerning their innovation performances. We introduce an innovation performance evaluation methodology by considering objective factors and applying seven reliable MCDM methods: MEREC, CODAS, MABAC, MARCOS, CoCoSo, WASPAS, and MAIRCA. MEREC calculates the relative weights of indicators considered
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Approach to Enterprise Modelling for Information Systems Engineering Informatica (IF 2.9) Pub Date : 2022-08-05 Saulius Gudas, Audrius Lopata, Tomas Skersys
The paper deals with Knowledge-based Information Systems (IS) engineering. The Enterprise management functions, processes and their interactions are considered as the major components of the domain knowledge. This is the peculiarity of this approach to Enterprise modelling for IS engineering. The resulting framework for Enterprise modelling and Knowledge-based IS engineering – Enterprise meta-model
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An Influence of Nonlinearities to Storage Capacity of Neural Networks Informatica (IF 2.9) Pub Date : 2022-08-05 Algis Garliauskas
The more realistic neural soma and synaptic nonlinear relations and an alternative mean field theory (MFT) approach relevant for strongly interconnected systems as a cortical matter are considered. The general procedure of averaging the quenched random states in the fully-connected networks for MFT, as usually, is based on the Boltzmann Machine learning. But this approach requires an unrealistically
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Transcoding Aspects for Image Tele-Collaboration Informatica (IF 2.9) Pub Date : 2022-08-05 Sabah M.A. Mohammed, Jinan A.W. Fiaidhi
Tele-Collaboration will enable users in different locations to collaborate in a shared, simulated environment as if they were in the same physical room. It’s the ultimate synthesis of networking and media technologies to enhance collaborative environments. When participants are Tele-Collaborated, they are able to interact with each other in a shared virtual environment. They are able to query and visualize
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Efficient Pairing-Based Threshold Proxy Signature Scheme with Known Signers Informatica (IF 2.9) Pub Date : 2022-08-05 Haifeng Qian, Zhenfu Cao, Qingshui Xue
Since threshold proxy signature has been proposed, all threshold proxy signature schemes are based on the discrete logarithm problems in the modular multiplicative group which has an element g with a large prime order. Nowadays this kind of threshold proxy signature schemes become more and more complex and time-consuming for security and specific requirement. In this paper, we propose a (bilinear)
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Hierarchical Decision Making Framework for Evaluation and Improvement of Composite Systems (Example for Building) Informatica (IF 2.9) Pub Date : 2022-08-05 Mark Sh. Levin, Moshe A. Danieli
The article describes a hierarchical decision making framework for the evaluation and improvement/redesign of composite systems. The framework is based on Hierarchical Morphological Multicriteria Design (HMMD) and corresponding morphological clique problem which realize “partitioning/synthesis macroheuristic”. The system evaluation process consists in hierarchical integration of expert judgment (as
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An Improved Conference-Key Agreement Protocol with Forward Secrecy Informatica (IF 2.9) Pub Date : 2022-08-05 Yuh-Min Tseng
Recently, Tzeng proposed a provably secure and fault-tolerant conference-key agreement protocol. It requires only a constant number of rounds to establish a conference key among all honest participants. This article will show that Tzeng’s protocol does not offer forward secrecy. We say that a conference-key agreement protocol offers forward secrecy if the long-term secret key of any participant is
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The Impact of Details in the Class Diagram on Software Size Estimation Informatica (IF 2.9) Pub Date : 2022-08-05 Aleš Živkovič, Marjan Heričko, Boštjan Brumen, Simon Beloglavec, Ivan Rozman
Software size is an important attribute in software project planning. Several methods for software size estimation are available; most of them are based on function points. Albrecht introduced function points as a technologically independent method with its own software abstraction layer. However, it is difficult to apply original abstraction elements to current technologies. Therefore researchers
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Diphone Databases for Lithuanian Text-to-Speech Synthesis Informatica (IF 2.9) Pub Date : 2022-08-05 Pijus Kasparaitis
One of the components of the text-to-speech synthesis system is the database of sounds. Two Lithuanian diphone databases in the MBROLA format are presented in this paper. The list of phonemes and the list of diphones necessary for Lithuanian text-to-speech synthesis are described. The problem of phoneme combinations that are not used in the Lithuanian language is dealt with in the work. Also, the article
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Attacks and Solutions of Yang et al.’s Protected Password Changing Scheme Informatica (IF 2.9) Pub Date : 2022-08-05 Eun-Jun Yoon, Eun-Kyung Ryu, Kee-Young Yoo
Recently, Yang et al. proposed an improvement to Tseng et al.’s protected password changing scheme that can withstand denial of service attack. However, the improved scheme is still susceptible to stolen-verifier attack and denial of service attack. Accordingly, the current paper demonstrates the vulnerability of Yang et al.’s scheme to two simple attacks and presents an improved protected password
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Weaknesses and Improvements of Yang–Chang–Hwang’s Password Authentication Scheme Informatica (IF 2.9) Pub Date : 2022-08-05 Wei-Chi Ku, Hao-Chuan Tsai
In 2001, Tseng, Jan, and Chien proposed an improved version of Peyravian–Zunic’s password authentication scheme based on the Diffie–Hellman scheme. Later, Yang, Chang, and Hwang demonstrated that Tseng–Jan–Chien’s scheme is vulnerable to a modification attack, and then described an improved scheme. In this paper, we show that Yang–Chang–Hwang’s scheme is still vulnerable to a denial-of-service attack
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Layered Battleship Game Changer Password System Informatica (IF 2.9) Pub Date : 2022-06-17 Boštjan Brumen, Darko Crepulja, Leon Bošnjak
The paper presents a secure and usable variant of the Game Changer Password System, first proposed by McLennan, Manning, and Tuft. Unlike the initial proposal based on inadequately secure Monopoly and Chess, we propose an improved version based on a layered “Battleship” game resilient against brute force and dictionary attacks. Since the initially proposed scheme did not check for the memorability