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...
Corporate Author: | |
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Other Authors: | , , |
Format: | Electronic |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
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Series: | Studies in Fuzziness and Soft Computing,
301 |
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6666-6 |
Table of Contents:
- 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.