Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A multi-stage fuzzy logic model is systematically reduced to obtain a significantly smaller rulebase. The multi-stage structure is obtained by unfolding a single-stage, n-dimension fuzzy logic model into multiple, two-dimension stages. The interconnection beten stages is not defuzzified. Rule reduction is performed by comparing output membership functions in the final two-dimension rulebase, ighted by the amount of use each rule receives, called the sum of truth, from the previous stage. The method is demonstrated on a Mackey Glass series and on a two-link robot, both with encouraging results.
['J.M. Adams', 'Kuldip S. Rattan']
I am writing a research paper on a idea Systematic rule reduction of a multi-stage fuzzy logic model
[{"from": "human", "value": "I am writing a research paper on a idea Systematic rule reduction of a multi-stage fuzzy logic model"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A multi-stage fuzzy logic model is systematically reduced to obtain a significantly smaller rulebase. The multi-stage structure is obtained by unfolding a single-stage, n-dimension fuzzy logic model into multiple, two-dimension stages. The interconnection beten stages is not defuzzified. Rule reduction is performed by comparing output membership functions in the final two-dimension rulebase, ighted by the amount of use each rule receives, called the sum of truth, from the previous stage. The method is demonstrated on a Mackey Glass series and on a two-link robot, both with encouraging results."}]