04553nam 22006255 450 991043776980332120200630075517.01-4614-6666-010.1007/978-1-4614-6666-6(CKB)2560000000105736(DE-He213)978-1-4614-6666-6(SSID)ssj0000935364(PQKBManifestationID)11597476(PQKBTitleCode)TC0000935364(PQKBWorkID)10953547(PQKB)10404899(MiAaPQ)EBC3101192(PPN)170487784(EXLCZ)99256000000010573620130625d2013 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Type-2 Fuzzy Sets and Systems[electronic resource] Theory and Applications /edited by Alireza Sadeghian, Jerry M Mendel, Hooman Tahayori1st ed. 2013.New York, NY :Springer New York :Imprint: Springer,2013.1 online resource (X, 262 p. 103 illus., 41 illus. in color.)Studies in Fuzziness and Soft Computing,1434-9922 ;301Bibliographic Level Mode of Issuance: Monograph1-4614-6665-2 Includes bibliographical references and index.Part 1 - Theoretical Foundations -- Interval Type-2 Fuzzy Logic Systems and Perceptual Computers: Their Similarities and Differences -- Continuous Karnik-Mendel Algorithms and Their Generalizations -- Two Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers: Adaptiveness and Novelty -- Interval Type-2 Fuzzy Markov Chains -- zSlices Based General Type-2 Fuzzy Sets and Systems -- Geometric Type-2 Fuzzy Sets -- Type-2 Fuzzy Sets and Bichains -- Type-2 Fuzzy Sets and Conceptual Spaces -- Part B- Type-2 Fuzzy Set Membership Function Generation -- Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services.-  Construction of Interval type-2 fuzzy sets from fuzzy sets. Methods and applications -- Interval type-2 fuzzy membership function generation methods for representing sample data -- Part C - Applications -- ype-2 Fuzzy Logic in Image Analysis and Pattern Recognition -- Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic -- A Review of Cluster Validation with an Example of Type-2 Fuzzy Application in R -- Type-2 Fuzzy Set and Fuzzy Ontology for Diet Application.This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties of type-2 fuzzy sets, geometric-based definition of type-2 fuzzy set operators, generalizations of the continuous KM algorithm, adaptiveness and novelty of interval type-2 fuzzy logic controllers, relations between conceptual spaces and type-2 fuzzy sets, type-2 fuzzy logic systems versus perceptual computers; modeling human perception of real world concepts with type-2 fuzzy sets, different methods for generating membership functions of interval and general type-2 fuzzy sets, and applications of interval type-2 fuzzy sets to control, machine tooling, image processing and diet.  The applications demonstrate the appropriateness of using type-2 fuzzy sets and systems in real world problems that are characterized by different degrees of uncertainty.Studies in Fuzziness and Soft Computing,1434-9922 ;301Computational intelligenceArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Artificial intelligence.Computational Intelligence.Artificial Intelligence.511.322Sadeghian Alirezaedthttp://id.loc.gov/vocabulary/relators/edtMendel Jerry Medthttp://id.loc.gov/vocabulary/relators/edtTahayori Hoomanedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910437769803321Advances in Type-2 Fuzzy Sets and Systems2515988UNINA