Granular Computing and Decision-Making - Interactive and Iterative Approaches (Hardcover, 2015 ed.)

This volume is devoted to interactive and iterative processes of decision-making- I2 Fuzzy Decision Making, in brief. Decision-making is inherently interactive. Fuzzy sets help realize human-machine communication in an efficient way by facilitating a two-way interaction in a friendly and transparent manner. Human-centric interaction is of paramount relevance as a leading guiding design principle of decision support systems. The volume provides the reader with an updated and in-depth material on the conceptually appealing and practically sound methodology and practice of I2 Fuzzy Decision Making. The book engages a wealth of methods of fuzzy sets and Granular Computing, brings new concepts, architectures and practice of fuzzy decision-making providing the reader with various application studies. The book is aimed at a broad audience of researchers and practitioners in numerous disciplines in which decision-making processes play a pivotal role and serve as a vehicle to produce solutions to existing problems. Those involved in operations research, management, various branches of engineering, social sciences, logistics, and economics will benefit from the exposure to the subject matter. The book may serve as a useful and timely reference material for graduate students and senior undergraduate students in courses on decision-making, Computational Intelligence, operations research, pattern recognition, risk management, and knowledge-based systems.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 10
Release date:	April 2015
First published:	2015
Editors:	Witold Pedrycz • Shyi-Ming Chen
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	368
Edition:	2015 ed.
ISBN-13:	978-3-319-16828-9
Categories:	Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-16828-2
Barcode:	9783319168289

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