Hybrid soft computing models applied to graph theory / Muhammad Akram, Fariha Zafar.
Akram, Muhammad, author.; Zafar, Fariha, author.
2020
QA166.175
Available Online

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Title Hybrid soft computing models applied to graph theory / Muhammad Akram, Fariha Zafar.
Author Akram, Muhammad, author.
ISBN 9783030160203 (electronic book)
3030160203 (electronic book)
9783030160197
303016019X
DOI https://doi.org/10.1007/978-3-030-16020-3
https://doi.org/10.1007/978-3-030-16
Published Cham, Switzerland : Springer, [2020].
Language English
Description 1 online resource (xxv, 434 pages) : illustrations.
Item Number 10.1007/978-3-030-16020-3 doi
10.1007/978-3-030-16
Call Number QA166.175
Dewey Decimal Classification 511/.5
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 11, 2019).
Added Author Zafar, Fariha, author.
Series Studies in fuzziness and soft computing ; v. 380.
Available in Other Form Print version: 9783030160197
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Record Appears in Online Resources > Ebooks
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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.

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