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|a 9781461466666
|9 978-1-4614-6666-6
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|a 10.1007/978-1-4614-6666-6
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|a 006.3
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|a Advances in Type-2 Fuzzy Sets and Systems
|h [electronic resource] :
|b Theory and Applications /
|c edited by Alireza Sadeghian, Jerry M Mendel, Hooman Tahayori.
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250 |
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|a 1st ed. 2013.
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
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300 |
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|a X, 262 p. 103 illus., 41 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 301
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|a 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.
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520 |
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|a 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.
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650 |
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|a Computational intelligence.
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|a Artificial intelligence.
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|a Computational Intelligence.
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650 |
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|a Artificial Intelligence.
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700 |
1 |
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|a Sadeghian, Alireza.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Mendel, Jerry M.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Tahayori, Hooman.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9781461466673
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776 |
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|i Printed edition:
|z 9781489999986
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776 |
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8 |
|i Printed edition:
|z 9781461466659
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830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 301
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856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-1-4614-6666-6
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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