001431767 000__ 02595cam\a2200505\a\4500
001431767 001__ 1431767
001431767 003__ OCoLC
001431767 005__ 20230309003240.0
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001431767 007__ cr\un\nnnunnun
001431767 008__ 200819s2021\\\\sz\\\\\\ob\\\\000\0\eng\d
001431767 019__ $$a1183957837$$a1191080682
001431767 020__ $$a9783030519490$$q(electronic bk.)
001431767 020__ $$a303051949X$$q(electronic bk.)
001431767 020__ $$z3030519481
001431767 020__ $$z9783030519483
001431767 0248_ $$a10.1007/978-3-030-51
001431767 035__ $$aSP(OCoLC)1184058088
001431767 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dEBLCP$$dLQU$$dTEF$$dOCLCF$$dOCLCQ
001431767 049__ $$aISEA
001431767 050_4 $$aQA273
001431767 08204 $$a519.2$$223
001431767 1001_ $$aDombi, József.
001431767 24510 $$aAdvances in the theory of probabilistic and fuzzy data scientific methods /$$cJózsef Dombi, Tamás Jónás.
001431767 260__ $$aCham, Switzerland :$$bSpringer,$$c[2021]
001431767 300__ $$a1 online resource
001431767 336__ $$atext$$btxt$$2rdacontent
001431767 337__ $$acomputer$$bc$$2rdamedia
001431767 338__ $$aonline resource$$bcr$$2rdacarrier
001431767 4901_ $$aStudies in computational intelligence ;$$vv. 814
001431767 504__ $$aIncludes bibliographical references.
001431767 506__ $$aAccess limited to authorized users.
001431767 520__ $$aThis book focuses on the advanced soft computational and probabilistic methods that the authors have published over the past few years. It describes theoretical results and applications, and discusses how various uncertainty measures - probability, plausibility and belief measures - can be treated in a unified way. It also examines approximations of four notable probability distributions (Weibull, exponential, logistic and normal) using a unified probability distribution function, and presents a fuzzy arithmetic-based time series model that provides an easy-to-use forecasting technique. Lastly, it proposes flexible fuzzy numbers for Likert scale-based evaluations. Featuring methods that can be successfully applied in a variety of areas, including engineering, economics, biology and the medical sciences, the book offers useful guidelines for practitioners and researchers.
001431767 650_0 $$aProbabilities.
001431767 650_0 $$aFuzzy statistics.
001431767 655_0 $$aElectronic books.
001431767 7001_ $$aJónás, Tamás.
001431767 77608 $$iPrint version: $$z3030519481$$z9783030519483$$w(OCoLC)1156996011
001431767 830_0 $$aStudies in computational intelligence ;$$vv. 814.
001431767 852__ $$bebk
001431767 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-51949-0$$zOnline Access$$91397441.1
001431767 909CO $$ooai:library.usi.edu:1431767$$pGLOBAL_SET
001431767 980__ $$aBIB
001431767 980__ $$aEBOOK
001431767 982__ $$aEbook
001431767 983__ $$aOnline
001431767 994__ $$a92$$bISE