Название: Hesitant Fuzzy Set: Theory and Extension
Автор: Bahram Farhadinia
Издательство: Springer
Серия: Computational Intelligence Methods and Applications
Год: 2021
Страниц: 162
Язык: английский
Формат: pdf (true), epub
Размер: 12.8 MB
Covering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic. In the case where different sources of vagueness appear simultaneously, the concept of fuzzy set is not able to properly model the uncertainty, imprecise and vague information. In order to overcome such a limitation, different types of fuzzy extension have been introduced so far. Among them, hesitant fuzzy set was first introduced in 2010, and the existing extensions of hesitant fuzzy set have been encountering an increasing interest and attracting more and more attentions up to now. It is not an exaggeration to say that the recent decade has seen the blossoming of a larger set of techniques and theoretical outcomes for hesitant fuzzy set together with its extensions as well as applications.