Muhammad Akram Fariha Zafar Akram Hybrid Soft Computing Models Applied to Graph Theory

Hybrid Soft Computing Models Applied to Graph Theory

von Muhammad Akram Fariha Zafar

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Beschreibung

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.

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.


Explains how construct and use rough fuzzy digraphs Describes applications to different sets of data and complex problems Describes relevant extensions, such as soft rough neutrosophic graphs

Autor*in

Muhammad Akram

Themen in »Hybrid Soft Computing Models Applied to Graph Theory«

Upper Approximate Fuzzy Digraphs Underlying Crisp Digraph Isomorphic Rough Fuzzy Digraphs Irregular Rough Fuzzy Digraphs Regular Fuzzy Soft Graphs Irregular Fuzzy Soft Graphs Strongest Directed Path Connected Fuzzy Subgraphs Fuzzy Directed Bridge Rough Fuzzy Directed Bridge Rough Fuzzy Directed Block Neutral Rough Fuzzy Digraphs Soft Rough Fuzzy Digraphs Bipolar Fuzzy Soft Graphs Traffic Densities of the Paths

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Details

ISBN: 9783030160203
Verlag: Springer International Publishing
Erscheinung: 05.04.2019

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