Journal ArticleDOI
Distributed representation of fuzzy rules and its application to pattern classification
TLDR
This paper introduces the concept of distributed representation of fuzzy rules and applies it to classification problems, and proposes a fuzzy inference method using the generated fuzzy rules.About:
This article is published in Fuzzy Sets and Systems.The article was published on 1992-11-25. It has received 513 citations till now. The article focuses on the topics: Fuzzy classification & Fuzzy set operations.read more
Citations
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Book
Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases
TL;DR: Fuzzy Rule-Based Systems Evolutionary Computation Introduction to Genetic Fuzzy Systems Genetic Tuning Processes Learning with Genetic Algorithms and Other Kinds of Evolutionary Fuzzies Applications.
Journal ArticleDOI
Selecting fuzzy if-then rules for classification problems using genetic algorithms
TL;DR: A genetic-algorithm-based method for selecting a small number of significant fuzzy if-then rules to construct a compact fuzzy classification system with high classification power is proposed.
Journal ArticleDOI
Neuro-fuzzy rule generation: survey in soft computing framework
Sushmita Mitra,Yoichi Hayashi +1 more
TL;DR: This article proposes to bring the various neuro-fuzzy models used for rule generation under a unified soft computing framework, and includes both rule extraction and rule refinement in the broader perspective of rule generation.
Proceedings Article
Performance evaluation of fuzzy classfier systems for multi-dimensional pattern classification problems
TL;DR: A genetics-based machine learning method that automatically generates fuzzy if-then rules for pattern classification problems from numerical data that works very well in comparison with other classification methods such as nonfuzzy machine learning techniques and neural networks.
Journal ArticleDOI
Performance evaluation of fuzzy classifier systems for multidimensional pattern classification problems
TL;DR: In this article, a fuzzy genetics-based machine learning method for multidimensional pattern classification problems with continuous attributes is presented, where each fuzzy if-then rule is handled as an individual, and a fitness value is assigned to each rule.
References
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Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Journal ArticleDOI
Application of fuzzy algorithms for control of simple dynamic plant
TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.
Journal ArticleDOI
A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)
TL;DR: Cerebellar Model Articulation Controller is a neural network that models the structure and function of the part of the brain known as the cerebellum that exhibits properties such as generalization, learning interference, discrimination, and forgetting that are characteristic of motor learning in biological creatures.
Book
Distributed representations
TL;DR: This report describes a different type of representation that is less familiar and harder to think about than local representations, which makes use of the processing abilities of networks of simple, neuron-like computing elements.