A consensus-based approach for multi-criteria decision making with probabilistic hesitant fuzzy information

Li, Jian; Niu, Lili; Chen, Qiongxia; Wu, Guang

doi:10.1007/s00500-020-04886-9

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…To obtain the same minimum or maximum membership degree in ( ) Li, Niu, Chen, and Wu (2020) gave a new normalized method which are developed as follows.…”

Section: Introductionmentioning

confidence: 99%

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

Liao

Wei

et al. 2022

Technological and Economic Development of Economy

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With the rise of the concept of environmental protection and the attention of all sectors of society to the ecological environment, the selection of green suppliers is a hot topic. In this paper, we develop the combinative distance-based assessment (CODAS) method in the probabilistic hesitant fuzzy sets (PHFSs) to cope with the multiple attributes group decision making (MAGDM). A standardized approach that integrates multiple methods is applied to normalize the original data. Moreover, the statistics variance (SV) method is applied under PHFSs to calculate the objective weighting vector of evaluation criteria. In the end, a case for supplier selection and the comparative analysis are used to confirm the feasibility and utility of this new approach.

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“…To obtain the same minimum or maximum membership degree in ( ) Li, Niu, Chen, and Wu (2020) gave a new normalized method which are developed as follows.…”

Section: Introductionmentioning

confidence: 99%

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

Liao

Wei

et al. 2022

Technological and Economic Development of Economy

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“…Farhadinia and Herrera-Viedma [33] fine-tuned the PHFI and developed theoretical base for the same by introducing operational laws and evaluating safety of industries in automobile sector. Li et al [34] made a consensus model with PHFI by introducing normalized PHFI for candidate selection and evaluation. Lin et al [35] measured consistency and repaired inconsistent preferences with newly proposed algorithms under PHFI context and adopted the model for decisions on investment projects.…”

Section: Introductionmentioning

confidence: 99%

An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information

Krishankumar

Garg

Arun

et al. 2021

Complex Intell. Syst.

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The paper aims to present an integrated approach to solve the decision-making problem under the probabilistic hesitant fuzzy information (PHFI) features, which is an extension of the hesitant fuzzy set. The considered PHFI not only allows multiple opinions, but also associates occurrence probability to each opinion, which increases the reliability of the information. Motivated by these features of PHFI, an approach is presented to solve the decision problem with partial known information about the attribute and expert weights. In addition, an algorithm for finding some missing values in the preference information is presented and stated their properties. Afterward, the Hamy mean operator has been used to aggregate the different collective information into a single one. Also, we presented a COPRAS method to the PHFI for ranking the given alternatives. The presented algorithm has been demonstrated through a case study of cloud vendor selection and its validity has been revealed by comparing the approach results with the several existing algorithm results.

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A decision framework under probabilistic hesitant fuzzy environment with probability estimation for multi-criteria decision making

Krishankumar

Ravichandran

Лю

et al. 2021

Neural Comput & Applic

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A consensus-based approach for multi-criteria decision making with probabilistic hesitant fuzzy information

Cited by 7 publications

References 43 publications

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION

An integrated decision-making COPRAS approach to probabilistic hesitant fuzzy set information

A decision framework under probabilistic hesitant fuzzy environment with probability estimation for multi-criteria decision making

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