COMPUTING SCIENCES RESEARCH

School of Computing Sciences

De Montfort University

The Gateway, Leicester, LE1 9BH

WORKING PAPER NO. 62

Fuzzy Inferencing Systems

Problems and Some Solutions

R I John

CMS Working Paper No. 62

Fuzzy Inferencing Systems - Problems and Some Solutions

R.I. John
School of Computing Sciences
De Montfort University
The Gateway
Leicester LE1 9BH

Abstract
Fuzzy Sets allow for the handling of unceratinty and vagueness and have been applied to a wide variety of problems. Fuzzy Inferencing Systems (FIS) allow for the use of fuzzy sets to draw conclusions and make decisions. There are a wide variety of issues that need to be considered by a FIS developer - determining membership functions, generating rules, composing rules and defuzzification. This paper reviews the issues and some of the methods that have been adopted to assist. Most of the approaches have been domain specific and applied to small problems. Further research is required into all these areas to help in the development of FIS.

Key words: fuzzy logic, inferencing, membership functions

• Contents
• List of Figures
• Introduction
• Fuzzy Logic
• Fuzzy Inferencing Systems
• Determining the membership functions
  • Manual methods for determining membership functions
  • Automatic methods for determining membership functions
    • Artificial Neural Networks
    • Genetic Algorithms
    • Deformable Prototypes
    • Gradient Search
    • Inductive Reasoning
• Fuzzy Rule Generation and Modification
• Fuzzy Composition
• Defuzzification
• Conclusion
• References
• Appendices
• About this document ...