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Hybrid soft computing models applied...

Akram, Muhammad.

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Hybrid soft computing models applied to graph theory

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid soft computing models applied to graph theory/ by Muhammad Akram, Fariha Zafar.
作者:	Akram, Muhammad.
其他作者:	Zafar, Fariha.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xxv, 434 p. :ill. (some col.), digital ;24 cm.
內容註:	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
標題:	Fuzzy graphs. -
電子資源:	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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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
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650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
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950 $a Intelligent Technologies and Robotics (Springer-42732)