TOPSIS Hybrid Multiattribute Group Decision-Making Based on Interval Pythagorean Fuzzy Numbers

Jun, Hu; Jun-min, WU; Jie, W. U.

doi:10.1155/2021/5735272

Cited by 7 publications

(4 citation statements)

References 14 publications

(13 reference statements)

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“…We use the TOPSIS decision-making method based on IVPFWA operator proposed by Hu Jun and other [18] scholars for research. Suppose a high-end equipment manufacturing company plans to select a product from these products as the product that the company will focus on innovation, development and promotion in the next three years.…”

Section: Topsis Decision Based On Ivpfwa Operatormentioning

confidence: 99%

Research on product competitiveness evaluation based on IPVFWA operator

Jun¹,

Wang²

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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This paper constructs a set of product competitiveness evaluation system based on IPVFWA operator; Through literature survey and statistical analysis, the evaluation index system of product competitiveness is established, which includes product development ability index, sustainable value creation ability index, product influence index and loyal customer acquisition ability index; Secondly, IPVFWA operator is proposed to aggregate the evaluation matrix of multiple decision makers into a comprehensive evaluation matrix to determine the evaluation index weight. Finally, a TOPSIS decision-making method based on IVPFWA operator is given, and an example is given to verify the feasibility and effectiveness of the application of IVPFWA operator in product evaluation.

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Section: Topsis Decision Based On Ivpfwa Operatormentioning

confidence: 99%

Research on product competitiveness evaluation based on IPVFWA operator

Jun¹,

Wang²

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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“…This method does not impose strict restrictions on data distribution or the number of attributes, and can effectively calculate the comprehensive impact of multiple attributes. Consequently, TOPSIS is widely used in various fuzzy uncertain environments [ 60 , 61 ]. Pang proposed the extended TOPSIS method with probabilistic linguistic information, which follows the process outlined below [ 16 ]:…”

Section: Preliminariesmentioning

confidence: 99%

A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator

Zhang,

Li,

et al. 2023

PLoS ONE

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This study proposes a novel multi-stage multi-attribute group decision making method under a probabilistic linguistic environment considering the development state and trend of alternatives. First, the probabilistic linguistic term set (PLTS) is used by decision makers (DMs) to describe qualitative evaluation information. Subsequently, the weights of DMs for different attributes in different periods are determined by the credibility degree, which is combined with the hesitancy degree and the similarity degree. The evaluations of different DMs for alternatives and the evaluations of DMs’ intentions to reward or punish are then aggregated. Later, the trend change level and the trend change stability of alternatives are measured through the means of reward and punishment incentives. Additionally, the probabilistic linguistic time-ordered incentive operator is proposed to aggregate the development state evaluation information and development trend evaluation information in different periods, and alternatives are prioritized by the extended TOPSIS method in the probabilistic linguistic environment. Finally, the practical use of the proposed decision framework is validated by using a sustainable supplier selection problem, and the effectiveness and the applicability of the framework are discussed through comparative analysis. The results show that the proposed approach can select suitable sustainable suppliers by considering their development state and trend in multiple stages.

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“…Fuzzy set (FS) is a fundamental and widely used concept, and Zadeh proposed to express the uncertainty and fuzziness of decision information in terms of the degree of affiliation and the FS theory developed rapidly [6]. However, it is not enough to describe uncertainty by affiliation alone, so Attanassov proposed by expressing the fuzziness and uncertainty of decision information by using the concepts of disaffiliation and hesitation simultaneously [7].…”

Section: Related Workmentioning

confidence: 99%

Green Logistics Partner Selection Based on Pythagorean Hesitant Fuzzy Set and Multiobjective Optimization

Guan

2022

Mathematical Problems in Engineering

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With the deepening of the uncertainty and fuzziness of people’s understanding of things, it becomes more convenient to use fuzzy decision making in evaluating schemes. These schemes not only include quantitative data but also consider more and more uncertainty evaluation information. In fuzzy theory, the Pythagorean fuzzy set is extended, both of which are less than or equal to 1, which increases the scope of application. This paper mainly studies the selection of green logistics. Based on the original TOPSIS principle, this paper introduces a Pythagorean fuzzy symmetric cross entropy to describe the difference between two Pythagorean fuzzy numbers and proves its rationality. The model is applied to the selection of green logistics and compared with the results obtained by other different methods, which also shows the effectiveness and practicability of the model. It extends the use of fuzzy sets and can solve some problems that cannot be solved by intuitionistic fuzzy sets before.

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TOPSIS Hybrid Multiattribute Group Decision-Making Based on Interval Pythagorean Fuzzy Numbers

Cited by 7 publications

References 14 publications

Research on product competitiveness evaluation based on IPVFWA operator

Research on product competitiveness evaluation based on IPVFWA operator

A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator

Green Logistics Partner Selection Based on Pythagorean Hesitant Fuzzy Set and Multiobjective Optimization

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