A measure of probabilistic hesitant I‐fuzzy sets and decision makings for strategy choice

Yang, Jie; Zhang, Xu

doi:10.1002/int.22340

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…Subsequently, more in-depth research around it was gradually launched [14,15] . Yang and Xu [16] defined an extended probabilistic hesitant I-fuzzy set (PHIFS), and proposed a simple and effective method based on weighted area index to measure fuzzy information in decision-making problems. Zhou and Xu [17] proposed the probabilistic hesitant fuzzy preference relations (PHFPRs) based on the probabilistic hesitant fuzzy element (PHFE).…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

ZANG,

LI,

WEI

2024

系统科学与信息学报(英文)

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The probabilistic hesitant fuzzy multi-attribute group decision-making method introduces probability and hesitation into decision-making problems at the same time, which can improve the reliability and accuracy of decision-making results, and has become a research hotspots in recent years. However, there are still many problems, such as overly complex calculations and difficulty in obtaining probability data. Based on these, the paper proposes a multi-attribute group decision-making model based on probability hesitant fuzzy soft sets. Firstly, the definition of probabilistic hesitant fuzzy soft set is given. Then, based on soft set theory and probabilistic hesitant fuzzy set, the similarity measure of probabilistic hesitant fuzzy soft set is proposed, and the two measures are further combined. Finally, it is applied to the construction of multi-attribute group decision-making model, and the effectiveness and rationality of the model are verified by an example. The example shows that the new similarity calculation formula and algorithm model in this paper have higher accuracy, and the calculation process is more simple, it provides a feasible method for multi-attribute group decision making problems.

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Section: Introductionmentioning

confidence: 99%

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

ZANG,

LI,

WEI

2024

系统科学与信息学报(英文)

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“…defined the DEA cross-efficiency with probabilistic hesitant fuzzy preference relations. Yang and Xu (2021) defined the measure of probabilistic hesitant I-fuzzy sets and decision making for strategy choice. Song and Chen (2021) extended the COPRAS method to solve MADM problems under probabilistic hesitant fuzzy environment.…”

Section: Introductionmentioning

confidence: 99%

TOPSIS Methods for Probabilistic Hesitant Fuzzy MAGDM and Application to Performance Evaluation of Public Charging Service Quality

Qi¹

2023

Informatica

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The performance evaluation of public charging service quality is frequently viewed as the multiple attribute group decision-making (MAGDM) issue. In this paper, an extended TOPSIS model is established to provide new means to solve the performance evaluation of public charging service quality. The TOPSIS method integrated with FUCOM method in probabilistic hesitant fuzzy circumstance is applied to rank the optional alternatives and a numerical example for performance evaluation of public charging service quality is used to test the newly proposed method’s practicability in comparison with other methods. The results display that the approach is uncomplicated, valid and simple to compute. The main results of this paper: (1) a novel PHF-TOPSIS method is proposed; (2) the extended TOPSIS method is developed in the probabilistic hesitant fuzzy environment; (3) the FUCOM method is used to obtain the attribute weight; (4) the normalization process of the original data has adapted the latest method to verify the precision; (5) The built models and methods are useful for other selection issues and evaluation issues.

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Unbalanced double hierarchy linguistic group decision-making method based on SWARA and S-ARAS for multiple attribute group decision-making problems

Teng

Shen

2022

Artif Intell Rev

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A measure of probabilistic hesitant I‐fuzzy sets and decision makings for strategy choice

Abstract: A measure is necessary for various decision-making problems, but it is inherently difficult for fuzzy information. This paper defines an extended probabilistic hesitant I-fuzzy set (PHIFS), and develops a simple and Ã

Cited by 5 publications

References 36 publications

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

TOPSIS Methods for Probabilistic Hesitant Fuzzy MAGDM and Application to Performance Evaluation of Public Charging Service Quality

Unbalanced double hierarchy linguistic group decision-making method based on SWARA and S-ARAS for multiple attribute group decision-making problems

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