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Название: Hybrid Soft Computing Models Applied to Graph Theory
Автор: Muhammad Akram, Fariha Zafar
Издательство: Springer
Год: 2020
Формат: PDF
Страниц: 452
Размер: 12.47 МБ
Язык: English
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.