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A purchaser's optimal procurement strategy under emergencies Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-15 Shuming Sang, Xinsheng Xu, Carman K. M. Lee
This paper investigates a purchaser's optimal procurement strategy under emergencies. The occurrence of emergencies often leads to sharp fluctuations in prices and weakens supply stability, which i...
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Almost automorphic behaviours of nonlocal stochastic fuzzy Cohen–Grossberg lattice neural networks Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-09 Shaobin Rao, Tianwei Zhang
Discrete-time Cohen–Grossberg neural networks (CGNNs) play important role in feedback neural networks. The existing literatures of CGNNs only regarded integral order discrete-time models without ot...
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Enhancing forest optimization algorithm with gravitational search for nonlinear continuous optimization Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-09 Najibeh Farzi-Veijouyeh, Neda Matin, Vahideh Sahargahi
Meta-heuristic algorithms have great role in solving problems related to optimization. Meta-heuristic method cannot solve problems related to optimization due to No Free Lunch theory. Hence differe...
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Reliable stabilization of discrete-time nonlinear singular systems with time-varying delays Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-08 K. Mathiyalagan, Yong-Ki Ma
The problem of delay-dependent reliable control for uncertain discrete-time nonlinear singular system with time-varying delays is investigated. A new set of delay-dependent sufficient conditions ar...
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Some implication operators on bounded lattices Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-05 Funda Karaçal, Kübra Karacair
In this paper, first we give a construction method for implications by an arbitrary element on bounded lattice. We present some implications obtained from binary operations on the bounded lattices,...
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A contract period optimization model for shared water saving management contract based on win-win Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-04-05 Xiaosheng Wang, Fan Yang, Wei Li
Aiming at the contract period of Shared Water Saving Management Contract (WSMC), this paper establishes a contract period optimization model based on win-win. Firstly, the water-saving investment a...
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Are human categories formal concepts? A case study using Dutch data Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-03-27 Radim Belohlavek, Tomas Mikula
While the notion of a formal concept, as used in formal concept analysis, is inspired by the traditional view of human concepts, the psychological relevance of formal concepts has not been examined...
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A hybrid chaos-based algorithm for data object replication in distributed systems Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-03-05 Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Alireza Rouhi, Reza Ghanbarzadeh
One of the primary challenges in distributed systems, such as cloud computing, lies in ensuring that data objects are accessible within a reasonable timeframe. To address this challenge, the data o...
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Deep learning-based privacy-preserving recommendations in federated learning Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-13 Chandra Sekhar Kolli, V. V. Krishna Reddy, Tatireddy Subba Reddy, Mohan Kumar Chandol, Durga Bhavani Dasari, Mule RamaKrishna Reddy
Privacy preservation in recommendations has been increasingly garnering huge interest from the research community owing to the rapid rise in data security and privacy concerns among users. The comp...
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Correction Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-12
Published in International Journal of General Systems (Ahead of Print, 2024)
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A novel two-phase approach for a sustainable p-hub median problem with multiple service levels and carbon cap-and trade policy under uncertainty Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-06 Yujie Gu, Menghao Xue, Hui Ma, Yifan Luo, Mingxuan Zhao, Jian Zhou
To reduce the carbon emissions for society's sustainable development and satisfy customers' personalized delivery service, this paper addresses the cap-and-trade policy and multiple service levels ...
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Stability analysis of supply chain members time delay decisions considering corporate social responsibility Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-02 Yu Li, Linzhong Liu, Wenxia Li, Wen Li
The strategic decisions of the manufacturer and the retailer directly affect the stability of the supply chain system. The delay and incompleteness of the market information greatly increase the co...
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Government subsidy design: knowledge transfer in R&D networks considering risk attitudes and reputation effects Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-02 Xiaoxia Huang, Peng Guo, Victor Shi, Xiaonan Wang
The design of government subsidies is essential in supporting collaborative innovation and promoting sustainable development in R&D networks. This study explores the influence of different governme...
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A real-time traffic rescheduling approach for the metro system Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-01-31 Zhenshan Xu, Xiaoming Xu, Jiancheng Long, Mingan Sheng, Zijie Liu
This paper addresses timetable disruptions in metro systems and their impact on passenger service quality. To mitigate these effects, the study introduces a time-space network-based traffic managem...
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Benefit distribution of guaranteed water saving management contract based on principal-agent theory Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-02-02 Xiaosheng Wang, Ran Li, Wei Li, Zhaoxing Liu
Aiming at benefit distribution of guaranteed water saving management contract (WSMC) projects, principal-agent theory is used to propose benefit distribution scheme. Firstly, principal-agent models...
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An advanced subway train localization system using a vision-based kilometer marker recognition-assisted multi-sensor fusion method Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-01-31 Xiaoyu Xian, Dan Liu, Daxin Tian, Yin Tian, Wei Jiang, Yukai Shi, Liang Lin
To solve the high costs of the existing transponder/odometer-based wayside subway train localization method and the discontinuity of the GNSS-based subway train localization method in blocked GNSS ...
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Disturbance estimation-based resilient control design for interval type-2 fuzzy stochastic systems under multiple disturbance observer Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-01-25 S. Aarthi, T. Satheesh, R. Sakthivel, S. Marshal Anthoni
This research endeavour's primary attention is on the problems of stabilization and multiple disturbance rejection for a class of interval type-2 fuzzy stochastic systems that are prone to paramete...
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Dynamic feedback H∞ control for discrete singular systems with time–varying delays Int. J. Gen. Syst. (IF 2.0) Pub Date : 2024-01-02 Wenbin Chen, Rathinasamy Sakthivel, Fang Gao, Fanchao Kong, Guangming Zhuang
This work carefully revisits the topic of dynamic feedback H∞ control problem for discrete singular systems (DSSs) with time–varying delays. A new state decomposed Lyapunov-Krasovskii functional is...
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Neural tracking trajectory of discrete-time nonlinear systems based on an exponential sliding mode algorithm Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-30 M. Hernandez-Gonzalez, E. A. Hernandez Vargas
For a class of discrete-time nonlinear systems, this paper proposes a discrete-time sliding mode control algorithm with an exponential term that acts as a variable gain to improve the convergence t...
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On the choice problem in two-dimensional Ellsberg experiment with randomness and uncertainty Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-20 Yang Liu, Zhongfeng Qin
The classical Ellsberg experiment provides decision-makers with a choice problem in which the likelihood of winning the gambling is uncertain. In this paper, we consider a two-dimensional Ellsberg ...
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Anti-windup scheme-based control for fractional-order systems subject to actuator and sensor saturation Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-22 R. Sakthivel, S. Sweetha, S. Mohanapriya, C. Antony Crispin Sweety
This paper addresses the problem of dissipative-based stabilization for fractional-order nonlinear control systems with uncertainties, time-delay, external disturbances, actuator faults, actuator a...
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SMPDF: stock movement prediction based on stock prices and text Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-17 Qiuyue Zhang, Yunfeng Zhang, Fangxun Bao, Caiming Zhang, Peide Liu
Stock movement prediction is a challenging task due to its dynamic and nonlinear characteristics. Different information sources provide a rich variety of perspectives and dimensions, which can be i...
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Designing robust green sustainable supply chain network by bi-objective optimization method Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-13 Shanshan Gao, Yankui Liu, Ying Liu
Designing a green supply chain is becoming popular in the context of sustainable development. To address this academic concern, this paper designs a multi-product, multi-echelon green supply chain ...
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Sharing mode selection and optimal pricing for an electric vehicle manufacturer Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-10 Chun-Yong Huang, Zhongwei Chen, Zhi-Ping Fan, Qi Zhang
This paper studies the sharing mode selection and optimal pricing for an electric vehicle manufacturer (EVM). We evaluate three sharing modes, i.e. Mode N, car sales business only, Mode S, car sale...
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Optimal dynamic contract with Knightian uncertainty of ESG rating Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-12-04 Yue Xu, Chen Fei, Weiyin Fei
In the context of “dual carbon” objectives, ESG investment concept has received wide attention. In this paper, based on stochastic systems and stakeholder theory, we analyze the interest requiremen...
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Predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems with full-state constraints Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-11-12 Xiangjun Wu, Shuo Ding, Ben Niu, Ning Xu, Xudong Zhao
This paper investigates the problem of predefined-time event-triggered adaptive tracking control for strict-feedback nonlinear systems (SFNSs) with full-state constraints. To handle asymmetric full...
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Knock-in options of mean-reverting stock model with floating interest rate in uncertain environment Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-11-08 Lifen Jia, Dongao Li, Fengjia Guo, Bowen Zhang
Knock-in options are a type of barrier option that become active when the value of the underlying asset exceeds a predetermined target. This paper investigates knock-in options based on the mean-re...
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A generalization of the Moore and Yang integral and interval probability density functions Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-29 B. Bedregal, C. G. da Costa, E. Palmeira, E. Mansilla, B. L. L. Bedregal
Based on an extension of Riemann sums, Moore and Yang have defined an integral notion for the context of continuous inclusion monotonic interval functions in which the limits of integration are rea...
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Resilient supply chain network design under uncertain environment Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-23 Honghua Shi, Yaodong Ni
Modern supply chain operates in a highly uncertain environment caused by natural disasters and market changes. Such a fact has motivated academics and practitioners to pay more attention to the sup...
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Performability analysis of multi-service call admission control schemes in LTE networks Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-23 Sana Younes, Maroua Idi, Riadh Robbana
Two important Quality-of-Service (QoS) measures for cellular networks are the fractions of New Calls (NCs) and Handoff Calls (HCs). These types of calls are usually blocked or dropped for two reaso...
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Distributivity equations of extended aggregation functions in type-2 fuzzy sets Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-23 Zhi-qiang Liu
In this paper, we completely characterize the distributivity between the extended conjunctive aggregation functions and the extended disjunctive aggregation functions. We give two necessary and suf...
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Regulating hazardous material transportation: a scenario-based network design approach with integrated risk-mitigation mechanisms Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-23 Ginger Y. Ke, Saeed Shakeri Nezhad, David M. Tulett
Integrating both proactive and reactive risk-mitigation mechanisms, this research constructs a bi-level network design problem for hazardous materials (hazmats) to regulate the carriers' use of roa...
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A hybrid approach for enhanced link prediction in social networks based on community detection Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-10-10 Mohamed Hassen Kerkache, Lamia Sadeg-Belkacem, Fatima Benbouzid-Si Tayeb
Community detection and link prediction are interdependent to a high degree. Knowing the community structure beforehand improves the identification of missing links, whereas clustering on networks ...
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Simultaneous fault detection and robust control for a dynamic observer-based switched time delay systems with car roll dynamic application Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-09-21 M. R. Shokrollahi, A. K. Mousavi
In this study, the issue of simultaneous fault detection and control (SFDC) for a class of switched linear systems with input and state delays is being addressed. A detector/controller unit (dynami...
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Skill hierarchy structure based skill assessment and learning paths Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-09-14 Dali Wang, Qingyuan Xu, Jinjin Li, Yongfan Zhu
Instructional assessment and learning paths are essential for improving students' learning effectiveness. This paper explores enhancing learners' learning efficiency and quality from the perspectiv...
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Attribute reduction for incomplete mixed data based on neighborhood information system Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-09-12 Ran Li, Hongchang Chen, Shuxin Liu, Haocong Jiang, Biao Wang
In an era of data-based and information-centric Industry 4.0, extracting potential knowledge and valuable information from data is central to data mining tasks. Yet, the ambiguity, imprecision, inc...
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On the concept of fuzzy order I: Remarks and observations Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-08-31 Radim Belohlavek, Tomas Urbanec
We consider the concept of fuzzy order in which antisymmetry is intrinsically connected to a many-valued equality on the underlying universe. We examine the origins of this concept, provide remarks and observations on the existing studies, and prove new results. In part I, we scrutinize the existing approaches to the examined concept of fuzzy order and present remarks and results to elucidate the available
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On the concept of fuzzy order II: Antisymmetry Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-08-31 Radim Belohlavek, Tomas Urbanec
In the second part of our paper, we explore antisymmetry of fuzzy orders. We provide a unifying definition of antisymmetry, which generalizes three existing variants of antisymmetry examined in the literature, along with the corresponding generalized definition of fuzzy order. We prove that all the particular instances of the generalized definition, which include the three basic ones, are mutually
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p-Accelerated normal S-iterative learning control algorithm for linear discrete singular time-delay systems Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-08-18 D. R. Sahu, Nitish Kumar Singh
This article addresses the issue of iterative learning control for a specific category of discrete linear singular time-delay systems. A new iterative learning control algorithm based on the p-acce...
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Metamodel-based dynamic algorithm configuration using artificial neural networks Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-08-16 Fabian Dunke, Stefan Nickel
We consider the problem of configuring algorithms dynamically by selecting algorithm parameter values adaptively. The research is motivated by the time dependency of system parameters throughout al...
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On lacunary statistical convergence of double sequences in credibility theory Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-08-02 Rabia Savaş, Mehmet Gürdal
In 1951, the notion of statistical convergence was a more general concept than the idea of convergence as by presented by Fast. Since then statistical convergence has been was investigated by more and more researchers. On the other hand, in 2006 Li has began the survey of credibility theory and presented some convergence concepts in credibility theory. Because of the esoteric of both credibility and
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General power laws of the causalities in the causal Bayesian networks Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-07-19 Boyuan Li, Xiaoyang Li, Zhaoxing Tian, Xia Lu, Rui Kang
The power laws of network geometric properties are widely adopted to characterize the critical phenomena of complex systems, which may not describe the diverse interactions in systems effectively. ...
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Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-07-16 Asgarali Bouyer, Maryam Sabavand Monfared, Esmaeil Nourani, Bahman Arasteh
This paper proposes a local diffusion-based approach to find overlapping communities in social networks based on label expansion using local depth first search and social influence information of nodes, called the LDLF algorithm. It is vital to start the diffusion process in local depth, traveling from specific core nodes based on their local topological features and strategic position for spreading
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Passenger flow forecasting approaches for urban rail transit: a survey Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-07-06 Qiuchi Xue, Wei Zhang, Meiling Ding, Xin Yang, Jianjun Wu, Ziyou Gao
Passenger flow forecast is the prerequisite and foundation for urban rail transit planning and operation. With the continuous expansion of rail network scale and the surge of passenger flow, the passenger flow prediction task becomes increasingly important and arduous. This paper presents an overview of the current research on passenger flow forecast in the field of urban rail transit, which mainly
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Admissibility and robust stabilization of fractional-order singular discrete systems with interval uncertainties Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-06-25 Qing-Hao Zhang, Jun-Guo Lu
ABSTRACT This paper investigates the admissibility and robust stabilization of fractional-order singular discrete systems with interval uncertainties. Firstly, based on the analysis of the regularity, causality and stability, novel admissibility conditions for nominal fractional-order singular discrete systems are derived including a necessary and sufficient condition in terms of spectral radius and
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APSO-TA-LSTM: a long and short term memory model combining time attention and adaptive particle swarm optimization for stock forecasting Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-06-14 Tianyu Hao, Gang Song, Hongwei Du
A new stock forecasting model that combines time attention and adaptive particle swarm optimization with LSTM (APSO-TA-LSTM) is proposed to improve the forecasting ability of neural networks for financial time series. The model uses a two-layer LSTM network to encode stock information within the time window and employs time attention to strategically focus on dependencies among time series features
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Practical stability of fractional-order nonlinear fuzzy systems Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-06-09 Mohamed Rhaima, Lassaad Mchiri, Nizar Hadj Taieb, Mohamed Ali Hammami, Abdellatif Ben Makhlouf
In this paper, we present a practical Mittag–Leffler stability for a new class of fractional-order nonlinear Takagi–Sugeno fuzzy uncertain systems. Based on fractional-order Lyapunov stability theory and the parallel distributed compensation (PDC) controller techniques, we show the convergence of the solutions of the closed-loop considered system toward a neighborhood of the origin. Furthermore, a
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On the copula-based reliability of stress-strength model under bivariate stress Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-31 Burcu Hudaverdi, Selim Orhun Susam
In this paper, we consider the stress-strength reliability R=P(X1
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The axiomatic characterization on fuzzy variable precision rough sets based on residuated lattice Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-28 Qiu Jin, Lingqiang Li
Axiomatization is a lively research direction in fuzzy rough set theory. Fuzzy variable precision rough set (FVPRS) incorporates fault-tolerant factors to fuzzy rough set, so its axiomatic description becomes more complicated and difficult to realize. In this paper, we present an axiomatic approach to FVPRSs based on residuated lattice (L-fuzzy variable precision rough set (LFVPRS)). First, a pair
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qLPV modeling and mixed-sensitivity L2 control for a magnetic levitation system Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-23 Luiz Benício Degli Esposte Rosa, Matheus Senna de Oliveira, Renan Lima Pereira
ABSTRACT This paper proposes a comprehensive mixed-sensitivity L2 control design for an experimental magnetic levitation (Maglev) system. The control strategy can be seen as an extension of the H∞ loop-shaping procedure for discrete-time linear parameter-varying (LPV) systems using linear-fractional representation (LFR). By making use of an efficient quadratic approach given in the form of linear matrix
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Uncertain yield-density regression model with application to parsnips Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-14 Haoxuan Li, Xiangfeng Yang, Yaodong Ni
ABSTRACT Given the existing observations, regression is necessary to predict the relationship between the response variable and the explanatory variable. In general, we assume that the observed data are precise, but in actual life, precise observations are often difficult to be obtained, and most of them are imprecise interval data. As a result, the traditional regression analysis may lead to inaccurate
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A spatiotemporal graph generative adversarial networks for short-term passenger flow prediction in urban rail transit systems Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-09 Jinlei Zhang, Hua Li, Shuxin Zhang, Lixing Yang, Guangyin Jin, Jianguo Qi
ABSTRACT Most short-term passenger flow prediction methods only consider absolute errors as the optimization objective, which fails to account for spatial and temporal constraints on the predictions. To overcome these limitations, we propose a deep learning-based spatiotemporal graph generative adversarial network (STG-GAN) to accurately predict network-wide short-term passenger flows of the urban
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Attribute reduction for set-valued data based on prediction label Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-09 Taoli Yang, Zhaowen Li, Jinjin Li
ABSTRACT Attribute reduction for set-valued data commonly took into account the distance or similarity between attribute values. However, little attention has been paid to the problem that sample labels can affect attribute reduction. This paper studies the attribute reduction for set-valued data based on prediction label. Firstly, the prediction label of samples in a set-valued decision information
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Preface of the special issue on advances in data-driven engineering Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-03 Sadok Ben Yahia, Christian Attiogbé
Published in International Journal of General Systems (Vol. 52, No. 3, 2023)
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Generating visual representations for zero-shot learning via adversarial learning and variational autoencoders Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-05-01 Muqaddas Gull, Omar Arif
Computer vision tasks rely heavily on a huge amount of training data for classification, but in everyday situations, it is impossible to assemble a large amount of training data. Zero-shot learning (ZSL) is a promising domain for the applications in which we have no labeled data available for novel classes. It aims to recognize those unseen classes, by transferring semantic information from seen to
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Fractional logistic map with fixed memory length Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-04-25 S. E. I. Bouzeraa, R. Bououden, M. S. Abdelouahab
ABSTRACT This paper investigates the discrete fractional-order logistic map and reports its fractional order with a fixed memory length version. The dynamic of the proposed system is analyzed using the bifurcation diagram and the recently introduced 0–1 test. It is shown that this fractional order with a fixed memory length logistic map can exhibit rich nonlinear dynamics such as period-doubling bifurcation
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Axiomatic characterizations of (𝔾, 𝕆)-fuzzy rough approximation operators via overlap and grouping functions on a complete lattice Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-04-25 Yan Sun, Bin Pang, Ju-Sheng Mi
ABSTRACT Recently, Jiang, H. B., and B. Q. Hu. [2022. “On (O,G)-Fuzzy Rough Sets Based on Overlap and Grouping Functions Over Complete Lattices.” International Journal of Approximate Reasoning 144: 18–50. doi:10.1016/j.ijar.2022.01.012] constructed a (G,O)(G,O) -fuzzy rough set model with the logical connectives–a grouping function GG and an overlap function OO on a complete lattice, which provided
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FEED2SEARCH: a framework for hybrid-molecule based semantic search Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-04-24 Nathalie Charbel, Christian Sallaberry, Sebastien Laborie, Richard Chbeir
ABSTRACT Adopting semantic technologies has proven several benefits for enabling a better representation of the data and empowering reasoning capabilities over it. However, there are still unresolved issues, such as the shift from heterogeneous documents to semantic data models and the representation of search results. Thus, in this paper, we introduce a novel FramEwork for hybrid molEcule-baseD SEmantic
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S-SNHF: sentiment based social neural hybrid filtering Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-04-24 Lamia Berkani, Nassim Boudjenah
Deep learning has yielded success in many research fields. In the last few years, deep learning techniques have been applied in recommender systems to solve cold start and data sparsity problems. However, only a few attempts have been made in social-based recommender systems. In this study, we address this issue and propose a novel recommendation model called Sentiment based Social Neural Hybrid Filtering
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Feature selection in a discrete feature space based on fuzzy conditional information entropy iterative model and matrix operation Int. J. Gen. Syst. (IF 2.0) Pub Date : 2023-04-16 Zhaowen Li, Yiying Chen
A discrete feature space consists of the set of samples, the set of categorical attributes (features) describing the samples and a decision attribute. Generally, many feature selection algorithms for a discrete feature space are based on the lower approximation or information entropy. However, the calculation of the lower approximation is more cumbersome, and information entropy may result based on