Theory and approaches of group decision making with uncertain linguistic expressions /
General Material Designation
[Book]
First Statement of Responsibility
Hai Wang, Zeshui Xu.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2019]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Uncertainty and operations research
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
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.
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SUMMARY OR ABSTRACT
Text of Note
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.