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Soft Computing
Erschienen in: Soft Computing 11/2019

14.02.2018 | Methodologies and Application

Multi-attribute decision making based on prioritized operators under probabilistic hesitant fuzzy environments

verfasst von: Jian Li, Zhong-xing Wang

Erschienen in: Soft Computing | Ausgabe 11/2019

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Abstract

Probabilistic hesitant fuzzy sets (PHFSs) are currently attracting the attention of numerous scholars due to their efficiency in representing uncertain and fuzzy information. PHFSs are more convenient than hesitant fuzzy sets for decision makers to provide their preference information. However, several important issues in PHFSs utilization remain to be addressed. The shortcomings of the operations in PHFSs are discussed in this paper. Probabilistic hesitant fuzzy prioritized weighted average (PHFPWA) and probabilistic hesitant fuzzy prioritized weighted geometric (PHFPWG) operators are developed on the basis of idea of prioritized aggregation operators, and their properties are described. The relationship between PHFPWA and PHFPWG operators is investigated. A multi-attribute decision-making method based on the proposed operators is presented. Two practical examples are provided to illustrate the practicality and effectiveness of the proposed method. Comparison analysis and discussion with other aggregation operators based on the same examples are provided.
Vorheriger Artikel A novel fuzzy vault scheme based on fingerprint and finger vein feature fusion
Nächster Artikel Some intuitionistic uncertain linguistic Bonferroni mean operators and their application to group decision making

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Metadaten
Titel
Multi-attribute decision making based on prioritized operators under probabilistic hesitant fuzzy environments
verfasst von
Jian Li
Zhong-xing Wang
Publikationsdatum
14.02.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 11/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3047-7

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