Hesitant Fuzzy Set

Theory and Extension

Inbunden, Engelska, 2021

Av Bahram Farhadinia

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Covering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic.

Produktinformation

Utgivningsdatum2021-12-05
Mått155 x 235 x 16 mm
Vikt430 g
FormatInbunden
SpråkEngelska
SerieComputational Intelligence Methods and Applications
Antal sidor151
FörlagSpringer Verlag, Singapore
ISBN9789811673009

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Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it

Bahram Farhadinia is a full professor of applied mathematics at Quchan University of Technology, Iran. He ranked in Stanford study of the world's top 2% of scientists in 2020, in the Islamic World Science Citation Center (ISC) of the ISC's top 1% of scientists in 2019 and 2020. He has published the book Information Measures for Hesitant Fuzzy Sets and Their Extensions, Springer 2019, 2 Persian books, and more than 70 peer-reviewed papers, many of them in high-quality international journals. His current research interest includes artificial intelligence and multiple criteria decision-making under uncertainty. He has received numerous honors and awards, including the 2001 and 2005 Outstanding Graduate awards, Distinguished Researcher Award (QUT 2011, 2013–2020), among others. He is the deputy of Iranian Fuzzy Systems Society and the editor of CAAI Transections on Intelligence Technology, Frontier in Artificial Intelligence Fuzzy Systems, and International Computer Science and Engineering Society.

Chapter 1: Hesitant Fuzzy Set.- Chapter 2: Hesitant Fuzzy Linguistic Term Set.- Chapter 3: Neutrosophic Hesitant Fuzzy Set.- Chapter 4: Pythagorean Hesitant Fuzzy Set.- Chapter 5: q-Rung Orthopair Hesitant Fuzzy Set.- Chapter 6: Probabilistic Hesitant Fuzzy Set.- Chapter 7: Type 2 Hesitant Fuzzy Set.- Chapter 8: Hesitant Bipolar Fuzzy Set.- Chapter 9: Cubic Hesitant Fuzzy Set.- Chapter 10: Complex Hesitant Fuzzy Set.- Chapter 11: Picture Hesitant Fuzzy Set.- Chapter 12: Spherical Hesitant Fuzzy Set.