Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

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Furthermore, the authors develop an approach to solve the multi-period multiple criteria decision making MPMCDM problems. Finally, an illustrative example is given. The presented hesitant fuzzy aggregation operators are very suitable for aggregating the hesitant fuzzy information collected at different periods.

The developed approach can solve the MPMCDM problems where all decision information takes the form of hesitant fuzzy information collected at different periods. The presented hesitant fuzzy aggregation operators and decision-making approach can widely apply to dynamic decision analysis, multi-stage decision analysis in real life.

The paper presents the useful way to aggregate the hesitant fuzzy information collected at different periods in MPMCDM situations. Peng, D. Emerald Group Publishing Limited. Please share your general feedback. You can start or join in a discussion here.

Dynamic hesitant fuzzy aggregation operators in multi-period decision making

Visit emeraldpublishing. Abstract Purpose The purpose of this paper is to present some dynamic hesitant fuzzy aggregation operators to tackle with the multi-period decision-making problems where all decision information is provided by decision makers in hesitant fuzzy information from different periods. Findings The presented hesitant fuzzy aggregation operators are very suitable for aggregating the hesitant fuzzy information collected at different periods. Practical implications The presented hesitant fuzzy aggregation operators and decision-making approach can widely apply to dynamic decision analysis, multi-stage decision analysis in real life.

Multicriteria Decision Making Method Based on the Higher Order Hesitant Fuzzy Soft Set

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Hesitant fuzzy best‐worst multi‐criteria decision‐making method and its applications

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Characterostic Objects METhod

Buy Softcover. FAQ Policy. About this book The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information.

TOPSIS using Excel - MCDM problem

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