Hybrid soft computing models applied to graph theory /

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Bibliographic Details
Author / Creator:	Akram, Muhammad, author.
Imprint:	Cham, Switzerland : Springer, [2020].
Description:	1 online resource (xxv, 434 pages) : illustrations (some color).
Language:	English
Series:	Studies in fuzziness and soft computing, 1434-9922 ; volume 380 Studies in fuzziness and soft computing ; v. 380.
Subject:	Fuzzy graphs. Soft computing. Fuzzy graphs. Soft computing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12601381

Hidden Bibliographic Details
Other authors / contributors:	Zafar, Fariha, author.
ISBN:	9783030160203 3030160203 9783030160197 303016019X 9783030160210 3030160211 9783030160227 303016022X
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed April 11, 2019).
Summary:	This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems. Based on the authors research, it offers a concise introduction to important models, ranging from rough fuzzy digraphs and intuitionistic fuzzy rough models to bipolar fuzzy soft graphs and neutrosophic graphs, explaining how to construct them. For each method, applications to different multi-attribute, multi-criteria decision-making problems, are presented and discussed. The book, which addresses computer scientists, mathematicians, and social scientists, is intended as concise yet complete guide to basic tools for constructing hybrid intelligent models for dealing with some interesting real-world problems. It is also expected to stimulate readers creativity thus offering a source of inspiration for future research.
Other form:	Original 303016019X 9783030160197
Standard no.:	10.1007/978-3-030-16020-3 10.1007/978-3-030-16

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