Novel measures for linguistic hesitant Pythagorean fuzzy sets and improved TOPSIS method with application to contributions of system-of-systems

Han, Qi; Liu, Weimin; Xu, Qiling; Song, Yafei; Fan, Chengli; Zhao, Minrui

doi:10.1016/j.eswa.2022.117088

Cited by 29 publications

(4 citation statements)

References 45 publications

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“…Among the above methods, TOPSIS is the most widely used. Since it was proposed, many efforts have been made to modify [54][55][56] (or extend [57][58][59][60][61]) TOPSIS, and to compare [62,63] (or combine [64][65][66]) it with other MCDM methods.…”

Section: Related Mcdm Methodsmentioning

confidence: 99%

How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS

Zhao

Liu

et al. 2022

Sustainability

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Currently, enterprises are paying more and more attention to green innovation in order to reduce the negative impact on the environment and achieve sustainable development. Different from evaluating the green innovation ability of enterprises, how to evaluate a person’s green innovation ability from the perspective of open innovation is a new direction. This study aims at proposing a novel framework to evaluate college students’ green innovation ability. First, a set of criteria to evaluate college students’ green innovation ability is determined by experts using the panel consensus approach. Second, the best worst method (BWM) is used to calculate the weights of criteria. Lastly, modified fuzzy technique for order of preference by similarity to ideal solution technique (TOPSIS) technique is adopted to rank college students’ green innovation ability. Moreover, a case study is presented to verify the validity of the proposed method. The results provide implications for academic, industry, and policymakers. Specifically, through the evaluation of college students’ green innovation ability, universities can find the inadequacies in culturing students’ green innovation ability and strengthen education in the aspects corresponding to the criteria with high global weights. Companies can select the talented internship students with green innovation ability as employees and should realize that it is good for them to cultivate college students with universities. Policymakers of the education department can trace the quality of education in college senior students’ green innovation ability every year. In addition, they should pay more attention to establish policies regarding those criteria with high global weights.

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Section: Related Mcdm Methodsmentioning

confidence: 99%

How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS

Zhao

Liu

et al. 2022

Sustainability

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“…Outranking methods mainly refer to Elimination and Choice Expressing the Reality (ELECTRE) [19], Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) [20], etc. Compromise methods incorporate TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) [21], VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) [22], etc. In many real cases, attributes often conflict with each other.…”

Section: Literature Reviewmentioning

confidence: 99%

A VIKOR-Based Linguistic Multi-Attribute Group Decision-Making Model in a Quantum Decision Scenario

2022

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Quantum decision theory has been successfully applied to multi-attribute group decision-making (MAGDM) to model decision-makers’ interference and superposition effects in recent years. Existing quantum models assume that interference effects among decision-makers are symmetric. However, asymmetric interference effects have been ignored. We propose a VIKOR-based linguistic distribution assessments (LDAs) model considering asymmetric interference effects in a quantum decision scenario. Firstly, we combine VIKOR with LDAs to obtain a compromise solution in a fuzzy multi-attribute decision scenario with conflicting attributes. Secondly, an aggregation framework based on quantum probability theory is constructed to explore group preferences considering asymmetric interference effects among decision-makers. Finally, the model is compared with other methods to confirm its validity and stability.

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“…The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a typical multi-attribute decision-making method [14,15]. For the object to be evaluated, two distances need to be calculated: one is the distance to the positive ideal solution (i.e., the optimal solution) and the other is the distance to the negative ideal solution (i.e., the worst solution).…”

Section: Introductionmentioning

confidence: 99%

Research on State Evaluation of Petrochemical Plants Based on Improved TOPSIS Method and Combined Weight

et al. 2023

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Due to the involvement of hazardous materials and the potential serious accidents that may occur in petrochemical plants, it is of great significance to develop real-time state evaluation methods offering high performance. Data-driven methods have received widespread attention following the development of advanced condition-monitoring systems. However, scarce training samples evaluated under multiple operating conditions are available because of the high stability and reliability requirements of petrochemical plants. In this paper, a real-time state evaluation method based on the technique for order preference by similarity to ideal solution (TOPSIS) is proposed, which circumvents dependence on data samples. First, the positive and negative ideal solutions of TOPSIS are determined using expert experience and the process index control limits of process cards. Then, fixed-value and fixed-interval indices are proposed to address the interval-optimal parameters. Subsequently, a new combined weight is established using the entropy method and the subjective weight coefficient. Finally, the above steps are integrated into an improved TOPSIS for the state evaluation of petrochemical plants. Experiments conducted on a fluid catalytic cracking (FCC) unit show that the proposed method can quantify the real-time operating status of a petrochemical plant. Furthermore, compared with the equal weight method, the evaluation result of combined weights is more aligned with the actual operating status.

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Novel measures for linguistic hesitant Pythagorean fuzzy sets and improved TOPSIS method with application to contributions of system-of-systems

Cited by 29 publications

References 45 publications

How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS

How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS

A VIKOR-Based Linguistic Multi-Attribute Group Decision-Making Model in a Quantum Decision Scenario

Research on State Evaluation of Petrochemical Plants Based on Improved TOPSIS Method and Combined Weight

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