Fuzzy Rules

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Fuzzy associative matrix - A fuzzy associative matrix expresses fuzzy logic rules in matrix form. These rules usually take two variables as input, mapping cleanly to a two-dimensional matrix, although theoretically a matrix of any number of dimensions is possible.

Rough fuzzy hybridization - Rough fuzzy hybridization is a method of hybrid intelligent system or soft computing, where Fuzzy set theory is used for linguistic representation of patterns, leading to a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space.

Defuzzification - Defuzzification is the process of producing a quantifiable result in fuzzy logic. Typically, a fuzzy system will have a number of rules that transform a number of variables into a "fuzzy" result, that is, the result is described in terms of membership in fuzzy sets.

Combs method - The Combs method is a method of writing fuzzy logic rules described by William E. Combs in 1997.

Suggested Web Sites

Management Intelligenter Technologien GmbH - ... and textual data. Main product is DataEngine. Interfaces to LabView and BridgeView. DataEngine is a software tool for data analysis in which fuzzy rules, fuzzy clustering, neural networks and fuzzy neural systems are offered in combination with mathematics, statistics and signal processing.

Scientio - XML Miner and XML Rule are two tools designed to data mine unstructured XML data and create a fuzzy expert system explaining what's found. The Expert system rules can be reused on fresh XML or embedded data sources.

Geczy, Peter - RIKEN Brain Science Institute. Neural networks, artificial intelligence, neuroscience, fuzzy logic, rule acquisition, rule extraction from neural networks, Autonomous Connectionistic Engine (ACE), neural network resources.

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Web Links

Direction Future Fuzzy System Theory - Direction Future Fuzzy System Theory Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel, Type-2 fuzzy logic: Breakthrough ...

Aladdin Knowledge Systems Limited - ... not only the Web but also new developments in how IR systems are or could be designed. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel, Type-2 fuzzy logic: Breakthrough techniques for ...

System Thinking Approach - ... sets of beliefs that a... It follows a body systems approach to the system design and analysis of fuzzy models and to the design of fuzzy controllers. Specialists in these fields, as well as ordinary people theists, atheists, and agnostics alike often disagree ...

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Aladdin Knowledge Systems Limited - ... not only the Web but also new developments in how IR systems are or could be designed. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel, Type-2 fuzzy logic: Breakthrough techniques for ...

Aladdin Knowledge Systems Limited - ... not only the Web but also new developments in how IR systems are or could be designed. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel, Type-2 fuzzy logic: Breakthrough techniques for ...

Type of Computer System -   Type of Computer System Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions by Jerry M. Mendel, Type-2 fuzzy logic: Breakthrough techniques for ...

Computer Free Software -   Computer Free Software Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang, Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft ...