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024 7 $a10.1007/978-3-030-96515-0
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035   $a(PPN)261518321
035   $a(OCoLC)1306065416
035   $a(DE-He213)978-3-030-96515-0
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100   $a20220313d2022      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInterval Type-3 Fuzzy Systems: Theory and Design /$fby Oscar Castillo, Juan R. Castro, Patricia Melin
205   $a1st ed. 2022.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022.
215   $a1 online resource (109 pages)
225 1 $aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v418
311 08$aPrint version: Castillo, Oscar Interval Type-3 Fuzzy Systems: Theory and Design Cham : Springer International Publishing AG,c2022 9783030965143 
327   $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.
330   $aThis book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and relations, also interval type-3 inference and systems. The use of type-2 fuzzy systems has become widespread in the leading economy sectors, especially in industrial and application areas, such as services, health, defense, and so on. However, recently the use of interval type-3 fuzzy systems has been receiving increasing attention and some successful applications have been developed in the last year. These issues were taken into consideration for this book, as we did realize that there was a need to offer the main theoretical concepts of type-3 fuzzy logic, as well as methods to design, develop and implement the type-3 fuzzy systems. A review of basic concepts and their use in the design and implementation of interval type-3 fuzzy systems, which are relatively new models of uncertainty and imprecision, are presented. The main focus of thiswork is based on the basic reasons of the need for interval type-3 fuzzy systems in different areas of application. In addition, we describe methods for designing interval type-3 fuzzy systems and illustrate this with some examples and simulations.
410  0$aStudies in Fuzziness and Soft Computing,$x1860-0808 ;$v418
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aComputational Intelligence
606   $aArtificial Intelligence
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
676   $a003
676   $a511.313
700   $aCastillo$b Oscar$0762265
702   $aCastro$b Juan R.
702   $aMelin$b Patricia
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910552746603321
996   $aInterval type-3 fuzzy systems$92952589
997   $aUNINA