00964cam a2200253/i 4500991003389179707536200112111615BL20 UCAMI981223s19900000gb eng 0198283350b14326486-39ule_instBibl. Dip.le Aggr. Scienze Economia - Sez. Settore Economicoita330.0151Goodwin, Richard Murphey,1913-1996237533Chaotic economic dynamics /Richard M.GoodwinOxford :Clarendon,1990IX, 137 p. ;22 cmFurther reading: p.131EconomiaModelli matematici.b1432648626-06-1726-06-17991003389179707536LE025 ECO 330 GOO01.0112025000279322le025Catalogato 2017-E30.00-l- 00000.i1581233926-06-17Chaotic economic dynamics463859UNISALENTOle02526-06-17ma enggb 0003259nam 2200601Ia 450 991043791680332120200520144314.09783642295201364229520710.1007/978-3-642-29520-1(CKB)3390000000030174(SSID)ssj0000745795(PQKBManifestationID)11378849(PQKBTitleCode)TC0000745795(PQKBWorkID)10871631(PQKB)11696374(DE-He213)978-3-642-29520-1(MiAaPQ)EBC3070967(PPN)168314746(EXLCZ)99339000000003017420120905d2013 uy 0engurnn#008mamaatxtccrAdvanced concepts in fuzzy logic and systems with membership uncertainty /Janusz T. Starczewski1st ed. 2013.Berlin ;New York Springerc20131 online resource (XII, 308 p.)Studies in fuzziness and soft computing,1434-9922 ;284Bibliographic Level Mode of Issuance: Monograph9783642295195 3642295193 Includes bibliographical references and index.Uncertainty in Fuzzy Sets -- Algebraic Operations on Fuzzy Valued Fuzzy Sets -- Defuzzification of Uncertain Fuzzy Sets -- Generalized Uncertain Fuzzy Logic Systems -- Uncertainty Generation in Uncertain Fuzzy Logic Systems -- Designing Uncertain Fuzzy Logic Systems.This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.  .Studies in fuzziness and soft computing ;v. 284.Fuzzy setsUncertainty (Information theory)Fuzzy logicFuzzy sets.Uncertainty (Information theory)Fuzzy logic.511.3/223Starczewski Janusz T1065566MiAaPQMiAaPQMiAaPQBOOK9910437916803321Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty2546741UNINA