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Theory and approaches of group decision making with uncertain linguistic expressions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Theory and approaches of group decision making with uncertain linguistic expressionsby Hai Wang, Zeshui Xu.
Author:	Wang, Hai.
other author:	Xu, Zeshui.
Published:	Singapore :Springer Singapore :2019.
Description:	xi, 222 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Operations research.
Online resource:	https://doi.org/10.1007/978-981-13-3735-2
ISBN:	9789811337352$q(electronic bk.)

Theory and approaches of group decision making with uncertain linguistic expressions
Wang, Hai.

Theory and approaches of group decision making with uncertain linguistic expressions[electronic resource] /by Hai Wang, Zeshui Xu. - Singapore :Springer Singapore :2019. - xi, 222 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-996X. - Uncertainty and operations research..

Chapter 1 Backgrounds and literature review -- Chapter 2 Representational models and computational foundations of some types of uncertain linguistic expressions -- Chapter 3 Group decision making based on EHFLTSs under the framework of decision matrix -- Chapter 4 Preference analysis and applications based on EHFLTSs -- Chapter 5 Preference analysis and group decision making based on LTWHs -- Chapter 6 An aspiration-based approach with multiple types of uncertain linguistic expressions -- Chapter 7 Group decision-making with multiple types of uncertain linguistic expressions: Stochastic acceptability analysis -- Chapter 8 Provider selection of big data-based auditing platforms with uncertain linguistic expressions.

This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.

ISBN: 9789811337352$q(electronic bk.)

Standard No.: 10.1007/978-981-13-3735-2doiSubjects--Topical Terms:

182516
Operations research.

LC Class. No.: HD30.23 / .W364 2019

Dewey Class. No.: 658.40301

Theory and approaches of group decision making with uncertain linguistic expressions
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505 0 $a Chapter 1 Backgrounds and literature review -- Chapter 2 Representational models and computational foundations of some types of uncertain linguistic expressions -- Chapter 3 Group decision making based on EHFLTSs under the framework of decision matrix -- Chapter 4 Preference analysis and applications based on EHFLTSs -- Chapter 5 Preference analysis and group decision making based on LTWHs -- Chapter 6 An aspiration-based approach with multiple types of uncertain linguistic expressions -- Chapter 7 Group decision-making with multiple types of uncertain linguistic expressions: Stochastic acceptability analysis -- Chapter 8 Provider selection of big data-based auditing platforms with uncertain linguistic expressions.
520 $a This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.
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