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130625s2013 xxu| s |||| 0|eng d |
| 020 |
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|a 9781461466666
|9 978-1-4614-6666-6
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|a 10.1007/978-1-4614-6666-6
|2 doi
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|a Q342
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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| 100 |
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|a Sadeghian, Alireza.
|e editor.
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| 245 |
1 |
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|a Advances in Type-2 Fuzzy Sets and Systems
|b Theory and Applications /
|c edited by Alireza Sadeghian, Jerry M. Mendel, Hooman Tahayori.
|h [electronic resource] :
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| 264 |
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1 |
|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.
|
| 336 |
# |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
1 |
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|a Studies in Fuzziness and Soft Computing,
|v 301
|x 1434-9922 ;
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| 505 |
0 |
# |
|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 Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 700 |
1 |
# |
|a Mendel, Jerry M.
|e editor.
|
| 700 |
1 |
# |
|a Tahayori, Hooman.
|e editor.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9781461466659
|
| 830 |
# |
0 |
|a Studies in Fuzziness and Soft Computing,
|v 301
|x 1434-9922 ;
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6666-6
|
| 912 |
# |
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|a ZDB-2-ENG
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| 950 |
# |
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|a Engineering (Springer-11647)
|