A new type of dyad fuzzy β-covering rough set models base on fuzzy information system and its practical application

Niu, Xinli; Sun, Zhenduo; Kong, Xiangzhi

doi:10.1016/j.ijar.2021.11.001

Cited by 17 publications

(5 citation statements)

References 36 publications

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“…It has become a global classic model and is widely used in various fields of society [ 5 ]. The American customer satisfaction index model takes customer expectation as the starting point and customer satisfaction as the focus to analyze customer perception, perceived value, perceived complaint, and customer loyalty [ 6 ]. The American customer satisfaction index model was first applied to hotel management and was introduced to China in 1999.…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Analysis and Research on Audience Satisfaction of Performing Arts Projects in Tourist Scenic Spots Based on the ASCI Model and Big Data

Ding

2022

Journal of Environmental and Public Health

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The development trend of tourism performance networking, although convenient for audience consumption, also makes the performance information present the development trend of big data. In the mass of information, how to accurately locate products and improve audience satisfaction is an urgent problem to be solved. In order to better explore the evaluation of tourism performance by the customer satisfaction evaluation model, analyze the development prospect of tourism in Jiangxi Province in the future, improve the customer satisfaction evaluation model with rough set, and propose a composite customer satisfaction evaluation model. By setting the adjustment value of the evaluation index, the model not only avoids the “false eigenvalue” of the satisfaction evaluation result but also simplifies the calculation process of the model and improves the accuracy, calculation efficiency, and single data processing capacity of the satisfaction evaluation. According to the MATLAB simulation results, the composite customer satisfaction evaluation model constructed in this study is better, the calculation accuracy is >97%, and the calculation time is 40 seconds, which are better than the original customer satisfaction evaluation model. Therefore, the composite customer satisfaction evaluation model can be applied to the evaluation of tourism performance products to provide data support for the evaluation price of audience satisfaction in Jiangxi Province.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Analysis and Research on Audience Satisfaction of Performing Arts Projects in Tourist Scenic Spots Based on the ASCI Model and Big Data

Ding

2022

Journal of Environmental and Public Health

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“…Firstly, each objective function is regarded as a conditional attribute [ 19 ], its weight is obtained, and the optimal template function X value is calculated. Secondly, the evaluation template attribute set is obtained [ 20 ]. The optimal scheme obtained under different physical fitness assessment scheme is h ; then, any physical fitness assessment scheme in X is u ij .…”

Section: The Prediction Model Of Physical Health Development Based On...mentioning

confidence: 99%

A Prediction Model of Health Development Based on Linear Sequential Extreme Learning Machine Algorithm Matrix

Cheng

Liu

2022

Computational Intelligence and Neuroscience

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The rapid development of social economy not only increases people’s living pressure but also reduces people’s health. Looking for a healthy development prediction model has become a domestic concern. Based on the analysis of the influencing factors of health development, this paper looks for a model to predict the development of public health, so as to improve the accuracy of health development prediction. In this paper, the linear sequential extreme learning machine algorithm can be used to evaluate the health status of a large number of data, analyze the differences of each evaluation index, and construct the analysis model of health status. Therefore, this paper introduces rough set theory into linear sequential extreme learning machine algorithm. Rough set can analyze the double analysis of evaluation scheme, predict the health development of different individuals, and improve the evaluation accuracy of mass health evaluation. The simulation results show that the improved line sequential extreme learning machine algorithm can accurately analyze the mass health and meet the needs of different individuals’ health evaluation.

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“…Fuzzy sets and fuzzy logic have since been widely employed to handle uncertainty issues in daily life [ 61 , 62 ]. Scholars have successively optimized fuzzy sets [ 63 , 64 ], such as Fuzzy Sets of Type-2 [ 65 ], standard fuzzy sets [ 66 ], hesitant fuzzy sets [ 67 ], interval-valued intuitionistic fuzzy values [ 20 ], and complex Pythagorean fuzzy sets [ 48 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Luo,

Wang,

Yang

et al. 2023

PLoS ONE

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Considering economic, environmental, and social issues, the sustainability of the supply chain has drawn considerable attention due to societal and environmental changes within the supply chain network. The strategic study of the entire supply chain process and maximizing an organization’s competitive advantage depend heavily on supplier selection based on sustainable indicators. Selecting sustainable suppliers for the supply chain is challenging since it is a multi-criteria decision-making (MCDM) problem with significant uncertainty in the decision-making process. This study uses the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique and single-valued neutrosophic sets (SVNS) to deal with the challenge of choosing a sustainable supplier with insufficient information. This method reduces the influence of personal experience and preference on the final evaluation results and the problem of excessive individual regret caused by factor correlation and improves the consistency of evaluation results. Finally, the method’s success and adaptability are demonstrated by sensitivity analysis and additional comparison analysis, and the benefits and drawbacks of the suggested framework are examined. Compared to other approaches, it can assist decision-makers in communicating fuzzy and uncertain information, offering a perspective and approach for MCDM in the face of such situations, and helping them select suppliers of high caliber and who practice sustainable business practices.

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A new type of dyad fuzzy β-covering rough set models base on fuzzy information system and its practical application

Cited by 17 publications

References 36 publications

[Retracted] Analysis and Research on Audience Satisfaction of Performing Arts Projects in Tourist Scenic Spots Based on the ASCI Model and Big Data

[Retracted] Analysis and Research on Audience Satisfaction of Performing Arts Projects in Tourist Scenic Spots Based on the ASCI Model and Big Data

A Prediction Model of Health Development Based on Linear Sequential Extreme Learning Machine Algorithm Matrix

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

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