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001441233 001__ 1441233
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001441233 0247_ $$a10.1007/978-981-16-7301-6$$2doi
001441233 035__ $$aSP(OCoLC)1287956673
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001441233 08204 $$a511.3/223$$223
001441233 1001_ $$aFarhadinia, Bahram,$$eauthor.
001441233 24510 $$aHesitant fuzzy set :$$btheory and extension /$$cBahram Farhadinia.
001441233 260__ $$aSingapore :$$bSpringer,$$c2021.
001441233 300__ $$a1 online resource
001441233 336__ $$atext$$btxt$$2rdacontent
001441233 337__ $$acomputer$$bc$$2rdamedia
001441233 338__ $$aonline resource$$bcr$$2rdacarrier
001441233 347__ $$atext file
001441233 347__ $$bPDF
001441233 4901_ $$aComputational intelligence methods and applications,$$x2510-1773
001441233 504__ $$aIncludes bibliographical references and index.
001441233 5050_ $$aChapter 1: Hesitant Fuzzy Set -- Chapter 2: Hesitant Fuzzy Linguistic Term Set -- Chapter 3: Neutrosophic Hesitant Fuzzy Set -- Chapter 4: Pythagorean Hesitant Fuzzy Set -- Chapter 5: q-Rung Orthopair Hesitant Fuzzy Set -- Chapter 6: Probabilistic Hesitant Fuzzy Set -- Chapter 7: Type 2 Hesitant Fuzzy Set -- Chapter 8: Hesitant Bipolar Fuzzy Set -- Chapter 9: Cubic Hesitant Fuzzy Set -- Chapter 10: Complex Hesitant Fuzzy Set -- Chapter 11: Picture Hesitant Fuzzy Set -- Chapter 12: Spherical Hesitant Fuzzy Set.
001441233 506__ $$aAccess limited to authorized users.
001441233 520__ $$aCovering a wide range of notions concerning hesitant fuzzy set and its extensions, this book provides a comprehensive reference to the topic. In the case where different sources of vagueness appear simultaneously, the concept of fuzzy set is not able to properly model the uncertainty, imprecise and vague information. In order to overcome such a limitation, different types of fuzzy extension have been introduced so far. Among them, hesitant fuzzy set was first introduced in 2010, and the existing extensions of hesitant fuzzy set have been encountering an increasing interest and attracting more and more attentions up to now. It is not an exaggeration to say that the recent decade has seen the blossoming of a larger set of techniques and theoretical outcomes for hesitant fuzzy set together with its extensions as well as applications. As the research has moved beyond its infancy, and now it is entering a maturing phase with increased numbers and types of extensions, this book aims to give a comprehensive review of such researches. Presenting the review of many and important types of hesitant fuzzy extensions, and including references to a large number of related publications, this book will serve as a useful reference book for researchers in this field.
001441233 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 15, 2021).
001441233 650_0 $$aFuzzy sets.
001441233 650_6 $$aEnsembles flous.
001441233 655_0 $$aElectronic books.
001441233 77608 $$iPrint version:$$z9811673004$$z9789811673009$$w(OCoLC)1269098959
001441233 830_0 $$aComputational intelligence methods and applications,$$x2510-1773
001441233 852__ $$bebk
001441233 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7301-6$$zOnline Access$$91397441.1
001441233 909CO $$ooai:library.usi.edu:1441233$$pGLOBAL_SET
001441233 980__ $$aBIB
001441233 980__ $$aEBOOK
001441233 982__ $$aEbook
001441233 983__ $$aOnline
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