عنوان

Hybrid soft computing models applied to graph theory /

3030160203

3030160211

303016022X

9783030160203

9783030160210

9783030160227

303016019X

9783030160197

Hybrid soft computing models applied to graph theory /

[Book]

Muhammad Akram, Fariha Zafar.

Cham, Switzerland :

Springer,

[2020].

1 online resource (xxv, 434 pages) :

illustrations (some color).

Studies in fuzziness and soft computing,

volume 380

1434-9922 ;

Includes bibliographical references and index.

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.

0

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.

Springer Nature

com.springer.onix.9783030160203

9783030160197

Fuzzy graphs.

Soft computing.

Fuzzy graphs.

Soft computing.

COM004000

UYQ

UYQ

Akram, Muhammad

Zafar, Fariha

20200823084907.0

pn

[Book]

Y