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Distributed linguistic representations and decision making

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed linguistic representations and decision making/ by Yuzhu Wu, Yucheng Dong.
Author:	Wu, Yuzhu.
other author:	Dong, Yucheng.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xii, 205 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Distributed Linguistic Information Transformations and Unifications -- Distributed linguistic Information Fusion and Consensus -- Distributed Linguistic Multiple Attribute Decision Making -- Personalized Individual Semantics for Distributed Linguistic Representation -- Classification and Discussion.
Contained By:	Springer Nature eBook
Subject:	Computational linguistics. -
Online resource:	https://doi.org/10.1007/978-981-96-4936-5
ISBN:	9789819649365

Distributed linguistic representations and decision making
Wu, Yuzhu.

Distributed linguistic representations and decision making[electronic resource] /by Yuzhu Wu, Yucheng Dong. - Singapore :Springer Nature Singapore :2025. - xii, 205 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-9978. - Uncertainty and operations research..

Introduction -- Distributed Linguistic Information Transformations and Unifications -- Distributed linguistic Information Fusion and Consensus -- Distributed Linguistic Multiple Attribute Decision Making -- Personalized Individual Semantics for Distributed Linguistic Representation -- Classification and Discussion.

This book provides a comprehensive perspective on the development of distributed linguistic representations in decision making, including the taxonomy of existing distributed linguistic representations, the key elements, and the classifications. It systematically investigates the formation of distributed linguistic representations and the methodology for the distributed linguistic information transformations and unifications, as well as the fusion and consensus reaching. This book studies the distributed linguistic information in MADM and the PIS-based applications of distributed linguistic information processing in decision making. Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. This book is written for researchers and postgraduates interested in linguistic decision making. Readers will find out lots of clear cues for distributed linguistic representations and distributed linguistic methodology to support decision making.

ISBN: 9789819649365

Standard No.: 10.1007/978-981-96-4936-5doiSubjects--Topical Terms:

606540
Computational linguistics.

LC Class. No.: P98

Dewey Class. No.: 006.35

Distributed linguistic representations and decision making
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505 0 $a Introduction -- Distributed Linguistic Information Transformations and Unifications -- Distributed linguistic Information Fusion and Consensus -- Distributed Linguistic Multiple Attribute Decision Making -- Personalized Individual Semantics for Distributed Linguistic Representation -- Classification and Discussion.
520 $a This book provides a comprehensive perspective on the development of distributed linguistic representations in decision making, including the taxonomy of existing distributed linguistic representations, the key elements, and the classifications. It systematically investigates the formation of distributed linguistic representations and the methodology for the distributed linguistic information transformations and unifications, as well as the fusion and consensus reaching. This book studies the distributed linguistic information in MADM and the PIS-based applications of distributed linguistic information processing in decision making. Distributed linguistic representations are powerful tools for modelling the uncertainty and complexity of preference information in linguistic decision making. This book is written for researchers and postgraduates interested in linguistic decision making. Readers will find out lots of clear cues for distributed linguistic representations and distributed linguistic methodology to support decision making.
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