A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection

Ning, Baoquan; Wei, Guiwu; Lin, Rui; Guo, Yanfeng

doi:10.1016/j.eswa.2022.117419

Cited by 72 publications

(24 citation statements)

References 94 publications

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“…e MADM refers to the process in which decision-makers use speci c methods to compare and select alternatives with multiple attributes on the basis of existing decision-making information [19][20][21][22][23][24][25]. Due to the complexity of the decision-making environment and the limited cognition of decision-makers, it is di cult for decision-makers to give accurate evaluation information in actual decision-making [26][27][28][29]. DMs often only consider the decision-making information of the current period, while ignoring the importance of historical information, so their understanding of the decision-making object is not comprehensive enough [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] A Decision‐Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2‐Tuple Linguistic Neutrosophic Numbers

Yang

Wen-sheng

2022

Discrete Dynamics in Nature and Society

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A healthy body is the foundation of education, and the guiding ideology of health first requires that all educational work in schools should take the health of students as the starting point and be responsible for the health of students. Taking the development of students as the foundation, its essential meaning is to make students develop into a “complete person,” that is, to integrate and unify students’ morality, intelligence, physique, beauty, life, habits, morality, skills, and other elements. The establishment of the evaluation index system of sports health literacy is a complex evaluation system with multiple factors and multiple indicators. The university student sports study psychological healthy evaluation is always looked as the multiple attribute decision-making (MADM) issue. In this paper, based on the generalized Heronian mean (HM) operator and generalized weighted HM (GWHM) operator, the generalized 2-tuple linguistic neutrosophic HM (G2TLNHM) operator and generalized 2-tuple linguistic neutrosophic weighted HM (G2TLNWHM) operator are proposed with 2-tuple linguistic neutrosophic sets (2TLNSs). Finally, an example of university student sports study psychological healthy evaluation is used to show the proposed methods. Some comparative studies and parameter influence analysis on the final result are fully given. The results show that the built algorithms method is really useful for university student sports study psychological healthy evaluation.

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Section: Introductionmentioning

confidence: 99%

[Retracted] A Decision‐Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2‐Tuple Linguistic Neutrosophic Numbers

Yang

Wen-sheng

2022

Discrete Dynamics in Nature and Society

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“…Along with daily growing decision complications and ambiguity and things' fuzziness of contemporary human subjective information cognition, there are new and increasingly arduous for DMs to o er real exact assessments [1][2][3]. So as to derive a better decision choice of MADM which depicted qualitative decision choice [4,5], Zadeh [6] built the fuzzy sets (FSs) to study not exact information [7,8].…”

Section: Introductionmentioning

confidence: 99%

An Integrated CoCoSo-CRITIC-Based Decision-Making Framework for Quality Evaluation of Innovation and Entrepreneurship Education in Vocational Colleges with Intuitionistic Fuzzy Information

Gou

2022

Mathematical Problems in Engineering

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This paper proposes a multiattribute group decision-making (MAGDM) based on the CoCoSo method under the intuitionistic fuzzy sets (IFSs) environment for quality evaluation of innovation and entrepreneurship education (IEE) in vocational colleges. First of all, this paper extends the CoCoSo to the IFSs environment. Second, a new MAGDM model for quality evaluation of IEE in vocational colleges based on the CoCoSo algorithm is built. In this algorithm, the attribute weight is derived by subjective weight and objective weight, and the objective weights are defined by using the CRITIC method. At the end of this given study, some comparisons are given to verify the decision effectiveness of the algorithm.

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“…Predictably, the process of eliciting preference information based on these methods would be very time-consuming and exhausting when the number of attributes and DMs is large. In order to the uncertainty and fuzziness of MADM, Ning et al [22] proposed a novel probabilistic dual hesitant fuzzy-enabled MADM technique. Wang et al [23] proposed a multi-objective particle swarm optimization-enabled approach to optimize park-level integrated energy systems with multiattribute decision analysis frameworks.…”

Section: Introductionmentioning

confidence: 99%

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

Zhu

Liu

Zhang

et al. 2022

Mathematical Problems in Engineering

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In an open environment, the demands of users are diverse and dynamic because users can participate in product design from beginning to end. Owing to this, the disorderly and unplanned participation of users will greatly increase the complexity of multi-attribute decision-making (MADM) in the product design process. In order to ensure the smooth development of the open design process, the decision support model and method need to repeatedly provide decision makers (DMs) with necessary decision support information in a relatively short period of time, which can realize the evaluation of the scheme and improve the utilization efficiency of community resources. However, the process of eliciting preference information is complex, exhausting, inefficient, and time-consuming in existing methods, which will result in a poor decision-making. With the purpose of optimizing the eliciting process in MADM, a rule-based decision support method is proposed in this paper, where the process of eliciting preference information and decision-making are synchronized and guided by pre-extracted decision rules. The rules are deduced from comparison relations on attributes and their outcomes through the combination of variable precision rough set approach (VPRS) and stochastic multi-objective acceptability analysis (SMAA). With the concept of attribute reduction and approximation accuracy in rough set theory, the extracted rules could eliminate redundant attributes and assign the relative priority of preference information. Based on the extracted rules, the multi-attribute decision-making process could be carried out step by step in an orderly manner. In each step, DMs only need to provide partial preference information by non-quantitative statements according to extracted rules. Once the decision result is reliable enough, the eliciting and decision-making process can be terminated promptly. In order to validate the proposed approach, experiments of decision rule extraction are implemented, and the results show that the proposed approach is effective both in the weak rule extraction and the strong rule extraction.

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A novel MADM technique based on extended power generalized Maclaurin symmetric mean operators under probabilistic dual hesitant fuzzy setting and its application to sustainable suppliers selection

Cited by 72 publications

References 94 publications

[Retracted] A Decision‐Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2‐Tuple Linguistic Neutrosophic Numbers

[Retracted] A Decision‐Making Framework for University Student Sports Study Psychological Healthy Evaluation with 2‐Tuple Linguistic Neutrosophic Numbers

An Integrated CoCoSo-CRITIC-Based Decision-Making Framework for Quality Evaluation of Innovation and Entrepreneurship Education in Vocational Colleges with Intuitionistic Fuzzy Information

A Rule-Based Decision Support Method Combining Variable Precision Rough Set and Stochastic Multi-Objective Acceptability Analysis for Multi-Attribute Decision-Making

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