Name: Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing) (en Inglés)
SKU: 51502436
Price: 145.55 USD
Availability: InStock
Author: Muhammad Akram; Fariha Zafar
ISBN: 9783030160197

portada Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing) (en Inglés)

Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Muhammad Akram; Fariha Zafar

Año

2019

Idioma

Inglés

N° páginas

434

Encuadernación

Tapa Dura

ISBN13

9783030160197

N° edición

Categorías

Investigación operativa

Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing) (en Inglés)

Muhammad Akram; Fariha Zafar (Autor) · Springer · Tapa Dura

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Reseña del libro "Hybrid Soft Computing Models Applied to Graph Theory (Studies in Fuzziness and Soft Computing) (en Inglés)"

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.