New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making

New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making

Multiple attribute decision making (MADM) is full of uncertainty and vagueness due to intrinsic complexity, limited experience and individual cognition. Representative decision theories include fuzzy set (FS), intuitionistic fuzzy set (IFS), hesitant fuzzy set (HFS), dual hesitant fuzzy set (DHFS) a...

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Bibliographic Details
Main Authors: Rugen Wang, Weimin Li, Tao Zhang, Qi Han
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Symmetry
Subjects:
multiple attribute decision making
distance measure
dual hesitant fuzzy set
determination of attribute weights
topsis
Online Access:https://www.mdpi.com/2073-8994/12/2/191

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