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Hybrid soft computing models applied...

Akram, Muhammad.

Hybrid soft computing models applied to graph theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid soft computing models applied to graph theoryby Muhammad Akram, Fariha Zafar.
Author:	Akram, Muhammad.
other author:	Zafar, Fariha.
Published:	Cham :Springer International Publishing :2020.
Description:	xxv, 434 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy graphs.
Online resource:	https://doi.org/10.1007/978-3-030-16020-3
ISBN:	9783030160203$q(electronic bk.)

Hybrid soft computing models applied to graph theory
Akram, Muhammad.

Hybrid soft computing models applied to graph theory[electronic resource] /by Muhammad Akram, Fariha Zafar. - Cham :Springer International Publishing :2020. - xxv, 434 p. :ill. (some col.), digital ;24 cm. - Studies in fuzziness and soft computing,v.3801434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

Rough Fuzzy Graphs -- Fuzzy Rough Graphs -- Intuitionistic Fuzzy Rough Graphs -- Fuzzy Soft Graphs -- Intuitionistic Fuzzy Soft Graphs -- Soft Rough Fuzzy Graphs -- Bipolar Fuzzy Soft Graphs -- Soft Rough Neutrosophic Influence Graphs.

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.

ISBN: 9783030160203$q(electronic bk.)

Standard No.: 10.1007/978-3-030-16020-3doiSubjects--Topical Terms:

205815
Fuzzy graphs.

LC Class. No.: QA166.175

Dewey Class. No.: 511.5

Hybrid soft computing models applied to graph theory
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100 1 $a Akram, Muhammad. $3 825968
245 1 0 $a Hybrid soft computing models applied to graph theory $h [electronic resource] / $c by Muhammad Akram, Fariha Zafar.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xxv, 434 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.380
505 0 $a Rough Fuzzy Graphs -- Fuzzy Rough Graphs -- Intuitionistic Fuzzy Rough Graphs -- Fuzzy Soft Graphs -- Intuitionistic Fuzzy Soft Graphs -- Soft Rough Fuzzy Graphs -- Bipolar Fuzzy Soft Graphs -- Soft Rough Neutrosophic Influence Graphs.
520 $a 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.
650 0 $a Fuzzy graphs. $3 205815
650 0 $a Soft computing. $3 182083
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Operations Research, Management Science. $3 511451
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Operations Research/Decision Theory. $3 273963
700 1 $a Zafar, Fariha. $3 866724
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.273. $3 558583
856 4 0 $u https://doi.org/10.1007/978-3-030-16020-3
950 $a Intelligent Technologies and Robotics (Springer-42732)