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Effects of Small Group Discussion: Case Study of Community Disaster Risk Management in Japan Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment

Authors : Weize Wang , Qi-An Lu, Li Yang

Published in: Outlooks and Insights on Group Decision and Negotiation

Publisher: Springer International Publishing

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Abstract

Hesitant fuzzy set is a very useful means to depict the decision information in the process of decision making. In this paper, motivated by the extension principle of hesitant fuzzy sets, we export Einstein operations on fuzzy sets to hesitant fuzzy sets, and develop some new arithmetic averaging aggregation operators, such as the hesitant fuzzy Einstein weighted averaging (\(\mathrm{{HFW}}{\mathrm{{A}}^\varepsilon }\)) operator, hesitant fuzzy Einstein ordered weighted averaging (\(\mathrm{{HFOW}}{\mathrm{{A}}^\varepsilon }\)) operator, and hesitant fuzzy Einstein hybrid weighted averaging (\(\mathrm{{HFHW}}{\mathrm{{A}}^\varepsilon }\)) operator, for aggregating hesitant fuzzy elements. Finally, we apply the proposed operators to multiple attribute group decision making with hesitant fuzzy information.

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previous chapter An Interval-Valued Hesitant Fuzzy TOPSIS Method to Determine the Criteria Weights
next chapter Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers
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Metadata
Title
Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment
Authors
Weize Wang
Qi-An Lu
Li Yang
Copyright Year
2015
Book
Outlooks and Insights on Group Decision and Negotiation

Print ISBN: 978-3-319-19514-8

Electronic ISBN: 978-3-319-19515-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-19515-5_14

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