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Hybrid soft computing models applied...

Akram, Muhammad.

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Hybrid soft computing models applied to graph theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid soft computing models applied to graph theory/ by 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.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Fuzzy graphs. -
Online resource:	https://doi.org/10.1007/978-3-030-16020-3
ISBN:	9783030160203

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.380..

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

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

724493
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 3381709
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 724493
650 0 $a Soft computing. $3 563033
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Operations Research/Decision Theory. $3 890895
700 1 $a Zafar, Fariha. $3 3442886
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.380. $3 3442887
856 4 0 $u https://doi.org/10.1007/978-3-030-16020-3
950 $a Intelligent Technologies and Robotics (Springer-42732)