000 03495nam a22004695i 4500
999 _c381545
_d381545
001 381545
003 ES-MaUEC
005 20230113194809.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 220625s2022 sz | s |||| 0|eng d
020 _a9783030965150
024 7 _a10.1007/978-3-030-96515-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA9.64
_b2022 EB
100 1 _aCastillo, Oscar
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9673637
_d1959-
245 1 0 _aInterval Type-3 Fuzzy Systems :
_bTheory and Design
_cby Oscar Castillo, Juan R. Castro, Patricia Melin
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (VIII, 102 páginas)
_b60 ilustraciones, 46 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Fuzziness and Soft Computing
_x1860-0808
_v418
505 0 _aChapter 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.
520 _aThis 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 this work 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.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9152595
_aSistemas difusos
650 7 _2embne
_9152594
_aLógica difusa
700 1 _aCastro, Juan R.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9677454
700 1 _aMelin, Patricia
_d1962-
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_997926
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030965143
776 0 8 _iPrinted edition:
_z9783030965167
776 0 8 _iPrinted edition:
_z9783030965174
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-96515-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b06/2022
_dz
_eIG
_zSI