Satisfaction-Oriented Fuzzy Reasoning

This paper examines the traditional architecture of fuzzy expert reasoning and suggests a reorientation, which is simpler, more intuitive, and more implementable. This new approach centers on first determining the degree of satisfaction that a rule applies to the current situation, and then using this degree of satisfaction to qualify the rule’s conclusion. This provides a theoretical basis for the effective work being done in practical fuzzy expert systems. But beyond this, satisfaction-oriented fuzzy reasoning establishes a framework for a large new space of fuzzy reasoning, both theoretical and practical. Satisfaction-Oriented Fuzzy Reasoning Peter V. Homeier [email protected] Information Technology Department The Aerospace Corporation M. S. M1-107, P. O. Box 92957, Los Angeles, CA 90009-2957 Abstract. This paper examines the traditional architecture of fuzzy expert reasoning and suggests a reorientation, which is simpler, more intuitive, and more implementable. This new approach centers on first determining the degree of satisfaction that a rule applies to the current situation, and then using this degree of satisfaction to qualify the rule’s conclusion. This provides a theoretical basis for the effective work being done in practical fuzzy expert systems. But beyond this, satisfaction-oriented fuzzy reasoning establishes a framework for a large new space of fuzzy reasoning, both theoretical and practical. This paper examines the traditional architecture of fuzzy expert reasoning and suggests a reorientation, which is simpler, more intuitive, and more implementable. This new approach centers on first determining the degree of satisfaction that a rule applies to the current situation, and then using this degree of satisfaction to qualify the rule’s conclusion. This provides a theoretical basis for the effective work being done in practical fuzzy expert systems. But beyond this, satisfaction-oriented fuzzy reasoning establishes a framework for a large new space of fuzzy reasoning, both theoretical and practical. MEYER’S LAW: [1] It is a simple task to make things complex, but a complex task to make them simple.