Journal of Intelligent & Fuzzy Systems - Volume 43, issue 3

Authors: Dong, Yuanyuan | Li, Jinghua | Liu, Tiansen | Fan, Minmin | Yu, Shuao | Zhu, Yu

Article Type: Research Article

Abstract: Waste recycling companies, as a climate-friendly institution, have broadly influenced the sustainability of the economic, ecological, and social spheres, while some waste products covering personal privacy actually make their suppliers hesitant to sell them to recycling companies. To inspire suppliers in this pro-environmental behavior and recycling companies’ proactive privacy protection behaviors, this study establishes a dynamic evolutionary game model underpinned by the Prospect Theory targeting the relationship between the government and waste mobile phone recycling companies. By developing a revenue perception matrix, this study analyzes recycling companies’ privacy protection behaviors under different government decisions, particularly to reveal an interaction mechanism …that interprets bilateral behavior choice. This study presents the following findings. (1) The degree of government supervision on recycling companies’ behavior choice and the actual cost and benefits these companies’ recycling strategies influence evolutionary game results. (2) Recycling companies’ privacy protection capability improves the effectiveness of government supervision strategies, while an increase in government’s perception and supervision costs could restrict companies’ privacy protection behaviors and government’s follow-up supervision strategies. (3) Moderate government sanctions (e.g. the fines) help normalize recycling companies’ privacy protection behaviors, but enhancing companies’ sensitivity to privacy value negatively influences privacy protection. (4) Lastly, an increase in loss aversion coefficient has a negative impact on recycling companies’ privacy protection while improves the outcomes of government supervision. Overall, this study contributes to develop a two-party evolutionary strategy under different policy decisions and recycling companies’ behavior choice. Therefore, we suggest that waste mobile phone recycling companies and the government synergistically focus on suppliers’ privacy protection. Show more

Keywords: Prospect theory, dynamic evolutionary game, protecting suppliers’ privacy, waste recycling

DOI: 10.3233/JIFS-212962

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3115-3132, 2022

Authors: Xiaolian, Liao | Guohua, Chen

Article Type: Research Article

Abstract: A portfolio selection model with return as triangular intuitionistic fuzzy number is developed in this study to assess and select portfolios on China Stock Exchange. Although the portfolio selection has been widely investigated, and most studies have regarded return and risk as the main decisive criteria, there are many uncertainties in the financial market, such as social, political and human psychological factors, which makes it difficult for us to describe the risks in line with empirical evidence. To fill this gap, first, a literature review was conducted to clarify the current situation and shortcomings of portfolio selection. Second, the triangular …intuitionistic fuzzy number was used to fuzzify the coefficients of the objective function and the constraints in the portfolio model. Third, the triangular intuitionistic fuzzy number model was transformed into a linear programming model by using the selected exact ranking function, and the model was solved by MATLAB. Finally, the historical monthly returns of 10 stocks in China’s Stock Exchange from December 2017 to November 2020, lasting 36 months, were selected to demonstrate the model. The results indicate that the portfolio selection model with triangular intuitionistic fuzzy number can better meet the uncertainty of the real securities market, and more reasonable investment decision guidance can be provided for investors. Besides, the limitations of this study are pointed out, and implications and directions for future research are discussed. Show more

Keywords: Portfolio selection model, rate of return, triangular intuitionistic fuzzy number

DOI: 10.3233/JIFS-213123

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3133-3139, 2022

Authors: Anu Disney, D. | Merline, A.

Article Type: Research Article

Abstract: Recently, Heterogeneous Networks (HetNet) are concentrated more in order to improve transmission coverage and spectrum efficiency. When compared to HetNet, Non-Orthogonal Multiple Access (NOMA) is used to allow multiple users to share the same frequency band resource. Moreover, cross-tier links are improved in realistic HetNets due to channel delay and random perturbation. In this research, a fuzzy logic-based user association and pairing was proposed to improve the system robustness and energy utilization. Here, fuzzy logic overcomes the limitations of traditional channel-based and gain-based pairing schemes. The proposed fuzzy logic-based system evaluates distance, channel gain, and reference signal power for mode …selection and enhances pairing features. Nature-inspired cuckoo search optimization is also used to improve coverage probability, feasible rate, and energy efficiency by optimizing the path loss, transmit power, and distance between user and base station. The proposed model analysis is carried out through intense simulation to demonstrate improved performance when compared to conventional state-of-the-art techniques. Show more

Keywords: Non-orthogonal multiple access, heterogeneous networks, energy utilization, fuzzy logic, cuckoo search optimization

DOI: 10.3233/JIFS-213444

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3141-3154, 2022

Authors: Singh, Ashutosh | Singh, Yogenrda Narain

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433 .

DOI: 10.3233/JIFS-212814

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3155-3171, 2022

Authors: Han, Nana | Qiao, Junsheng

Article Type: Research Article

Abstract: Rough sets, as a powerful tool to deal with uncertainties and inaccuracies in data analysis, have been continuously concerned and studied by many scholars since it was put forward, especially the research on various rough set models. On the other hand, overlap and grouping functions, as two newly aggregation operators and mathematical model to handle the problems involving in information fusion, have been successfully applied in many real-life problems. In this paper, based on overlap and grouping functions, we propose a new fuzzy rough set model named (G O , O )-fuzzy rough sets and consider its characterizations along …with topological properties. Properly speaking, firstly, we utilize QL -operators (and also QL -implications) constructed from overlap and grouping functions and fuzzy negations to define the lower approximation operator in (G O , O )-fuzzy rough set model named G O -lower fuzzy rough approximation operator and the upper approximation operator in (G O , O )-fuzzy rough set model is considered as the O -upper fuzzy rough approximation operator in (I O , O )-fuzzy rough set model proposed by Qiao recently. Secondly, we discuss lots of basic properties of (G O , O )-fuzzy rough sets, especially for the properties of G O -lower fuzzy rough approximation operator. Thirdly, we focus on the relationship between (G O , O )-fuzzy rough sets and concrete fuzzy relations. Finally, we give the topological properties of the upper and lower approximation operators in (G O , O )-fuzzy rough set model. Show more

Keywords: (GO, O)-fuzzy rough set, overlap function, grouping function, fuzzy relation, fuzzy topology

DOI: 10.3233/JIFS-213261

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3173-3187, 2022

Authors: Zhao, Li | Sun, Meng | Yang, Binbin | Xie, Junpeng | Feng, Jiqiang

Article Type: Research Article

Abstract: With the digital transformation of enterprises, the traditional security defense technology has been unable to meet the security requirements of enterprises, and the data security and privacy protection have brought great challenges to the Internet. Therefore, taking zero trust as the security concept and taking the network boundary as the best practice landing technology architecture, this paper studies the zero trust access authorization and control of network boundary based on cloud big data fuzzy clustering of. Through the network stealth technology, it constructs a virtual boundary for the enterprise, uses the cloud big data fuzzy clustering algorithm to mine the …user behavior related data, and designs the trust evaluation mechanism to obtain the user trust level. The dynamic access authorization control mechanism is designed to judge the access requests in and out of the permission boundary. Combined with the user’s trust level, the legal requests and illegal requests are distinguished to complete the zero trust access authorization and control of network boundary. Experimental results show that: the method can accurately control the access authorization of the network boundary, improve the success rate of access authorization and control interaction; the interception rate of illegal access is high, and it has high securit. Show more

Keywords: Cloud sea, big data, fuzzy clustering, network boundary, zero trust, access authorization and control

DOI: 10.3233/JIFS-220128

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3189-3201, 2022

Authors: Li, Mingwei | Chen, Juan

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433 .

DOI: 10.3233/JIFS-212640

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3203-3218, 2022

Authors: Lv, Jian | Mao, Qinghua | Li, Qingwen | Chen, Shudong

Article Type: Research Article

Abstract: Emergency events are happening with increasing frequency, inflicting serious damage on the economic development and human life. A reliable and effective emergency decision making method is great for reducing various potential losses. Hence, group emergency decision making (GEDM) has drawn great attention in past few years because of its advantages dealing with the emergencies. Due to the timeliness and complexity of GEDM, vagueness and regret aversion are common among decision makers (DMs), and decision information usually needs to be expressed by various mathematical forms. To this end, this paper proposes a novel GEDM method based on heterogeneous probabilistic hesitant information …sets (PHISs) and regret theory (RT). Firstly, the PHISs with real numbers, interval numbers and linguistic terms are developed to depict the situation that decision group sways precariously between several projects and best retain the original assessment. In addition, the score functions, the divergence functions and some operations of the three types of PHISs are defined. Secondly, the normalization model of PHISs is presented to remove the influence of different dimensions on information aggregation. Thirdly, group satisfaction degree (GSD) based on the score functions and the divergence functions is combined with RT for completely portraying the regret perception of decision group. Then, we introduce Dempster-Shafer (DS) theory to determine the probabilities of future possible states for emergency events. Finally, an example of coronavirus disease 2019 (COVID-19) situation is given as an application for the proposed GEDM method, whose superiority, stability and validity are demonstrated by employing the comparative analysis and sensitivity analysis. Show more

Keywords: Group emergency decision making, heterogeneous decision information, probabilistic hesitant information sets, regret theory, group satisfaction degree

DOI: 10.3233/JIFS-213336

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3219-3237, 2022

Authors: Yang, Shuaishuai | Cong, Qiumei | Yu, Wen | Yang, Jian | Song, Jian

Article Type: Research Article

Abstract: Aiming at the problem that fuzzy neural network (FNN) is difficult to be adjusted automatically its structure when there is no the threshold of loss function, as well as the problem that the neuron number of the regularization layer of FNN is adjusted by self-organizing algorithm when the structure of FNN is not stable yet, a structural design strategy of self-organizing recursive FNN based on the Boston matrix (SORFNN-BOSTON) is proposed. Compared with other self-organizing algorithms, the method used in this paper does not need to set the threshold of loss function. In addition to the indicators representing the importance …of neurons in most self-organizing algorithms, the change rate is used to represent the change of the parameters of the neural network. The change rate is used to determine when the relevant parameters are stable, which further improves the reliability of the neuron adjustment process. Through the simulation of predicting Mackey-Glass time sequence, the final number of neurons in the hidden layer and the testing error are 6 and 0.110 respectively. Comparisons with other self-organizing algorithms show that the testing error decreased by 76.6% at most and 13.3% at least, which proves the practicability of the method. Show more

Keywords: Boston matrix, self-organizing algorithm, fuzzy neural network, nonlinear system simulation

DOI: 10.3233/JIFS-213461

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3239-3249, 2022

Authors: Sreedevi, S. | Angeline Ezhilarasi, G.

Article Type: Research Article

Abstract: The optimal location and rating of distributed generators in the distribution network is important role in the incremental consumer load. Proposed research determines a novel approach for the optimal placement rating of distributed generators. To achieve the multi-objectives of expanded work is to minimize the power loss, reduce operating cost, and development of magnitude output voltage. At present, the objectives are achieved by using spider monkey optimization algorithm (SMOA). Design and prescribed optimization is considered various constraints such as voltage limit, dg (Distributed Generator), real power generation limit, current limit, and power equality constraint estimated. The losses sensitivity factor involves …the best selection of the optimal locations to fix dg units. In this context proposes to determine the optimal rating of dg units based on the searching behavior of spider monkeys. IEEE (Institute of Electrical and Electronics Engineering) 33-bus, and IEEE 69-bus distribution systems with various load levels are tested the validation of presented method. The entire work is done by MATLAB/Simulink program, and the SMOA is also compared with familiar algorithms to show the efficiency for an optimal rating of the power system. Show more

Keywords: Spider monkey optimization algorithm, power system, distribution generator, power quality, simulation

DOI: 10.3233/JIFS-220210

Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 3, pp. 3251-3269, 2022