01527nam0 2200313 450 00002827020110609135544.020110609d2010----km-y0itay50------baitaITy---m---001yy<<Il >>project management nell\2019ente pubblicorisorsa elettronicail centro regionale di competenza \201CAMRA\201Dtesi di dottorato di: Melania Minettitutor: Rosetta ColuccielloNapoli20101 disco ottico (CD-ROM)12 cmDati testuali (1 file: 1,02 Mb)Tit. dell'etichettaCoordinatore: Daniela CovinoTesi di Dottorato di ricerca in Economia delle risorse alimentari e dell\2019ambiente. 2008-2009 (22. ciclo) : Università degli studi di Napoli "Parthenope". Dipartimento di Studi Economici "Salvatore Vinci"Requisiti minimi del sistema: Windows<<Il >>project management nell\2019ente pubblico : il centro regionale di competenza \201CAMRA\201D42116Gestione dei progettiEnti pubblici658.40421Gestione esecutiva. Gestione dei progettiMinetti,Melania634069Università degli Studi di Napoli "Parthenope"ITUNIPARTHENOPE20110609RICAUNIMARC000028270TESI Dottorato CD-ROM/43s.i.NAVA12011Project management nell\2019ente pubblico : il centro regionale di competenza \201CAMRA\201D42116UNIPARTHENOPE03401nam 22005775 450 991055274660332120251113190418.03-030-96515-510.1007/978-3-030-96515-0(MiAaPQ)EBC6922466(Au-PeEL)EBL6922466(CKB)21397526100041(PPN)261518321(OCoLC)1306065416(DE-He213)978-3-030-96515-0(EXLCZ)992139752610004120220313d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierInterval Type-3 Fuzzy Systems: Theory and Design /by Oscar Castillo, Juan R. Castro, Patricia Melin1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (109 pages)Studies in Fuzziness and Soft Computing,1860-0808 ;418Print version: Castillo, Oscar Interval Type-3 Fuzzy Systems: Theory and Design Cham : Springer International Publishing AG,c2022 9783030965143 Chapter 1: Introduction to Interval Type-3 Fuzzy Systems -- Chapter 2: Type-2 Fuzzy Logic Systems -- Chapter 3: Interval Type-3 Fuzzy Sets -- Chapter 4: Interval Type-3 Fuzzy Logic Systems -- Chapter 5: Conclusions of Type-3 Fuzzy Systems.This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and relations, also interval type-3 inference and systems. The use of type-2 fuzzy systems has become widespread in the leading economy sectors, especially in industrial and application areas, such as services, health, defense, and so on. However, recently the use of interval type-3 fuzzy systems has been receiving increasing attention and some successful applications have been developed in the last year. These issues were taken into consideration for this book, as we did realize that there was a need to offer the main theoretical concepts of type-3 fuzzy logic, as well as methods to design, develop and implement the type-3 fuzzy systems. A review of basic concepts and their use in the design and implementation of interval type-3 fuzzy systems, which are relatively new models of uncertainty and imprecision, are presented. The main focus of thiswork is based on the basic reasons of the need for interval type-3 fuzzy systems in different areas of application. In addition, we describe methods for designing interval type-3 fuzzy systems and illustrate this with some examples and simulations.Studies in Fuzziness and Soft Computing,1860-0808 ;418Computational intelligenceArtificial intelligenceComputational IntelligenceArtificial IntelligenceComputational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.003511.313Castillo Oscar762265Castro Juan R.Melin PatriciaMiAaPQMiAaPQMiAaPQBOOK9910552746603321Interval type-3 fuzzy systems2952589UNINA