Advances in type-2 fuzzy sets and systems : theory and applications
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 alg...
Gardado en:
| Autor Principal: | |
|---|---|
| Outros autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2013. |
| Series: | Studies in Fuzziness and Soft Computing
301 |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Type-2 Fuzzy Sets and Systems, Texte imprimé, 9781461466659 • Advances in Type-2 Fuzzy Sets and Systems, Texte imprimé, 9781489999986 • Advances in Type-2 Fuzzy Sets and Systems, Texte imprimé, 9781461466673 |
Table des matières:
- 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