Hybrid Soft Computing Models Applied to Graph Theory by Muhammad AkramHybrid Soft Computing Models Applied to Graph Theory by Muhammad Akram

Hybrid Soft Computing Models Applied to Graph Theory

byMuhammad Akram, Fariha Zafar

Hardcover | April 16, 2019

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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.

Dr. Muhammad Akram received MSc degrees in Mathematics and Computer Science, MPhil in Computational Mathematics and PhD in Fuzzy Mathematics. He is currently a Professor in the Department of Mathematics at the University of the Punjab, Lahore, Pakistan, where he has been serving as a PhD supervisor of more than 10 students. Dr. Akram's...
Title:Hybrid Soft Computing Models Applied to Graph TheoryFormat:HardcoverProduct dimensions:434 pages, 9.41 × 7.24 × 0.98 inShipping dimensions:9.41 × 7.24 × 0.98 inPublished:April 16, 2019Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:303016019X

ISBN - 13:9783030160197


Table of Contents

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.