Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A general approach to practical inference with gradual implicative rules and fuzzy inputs is presented. Gradual rules represent constraints restricting outputs of a fuzzy system for each input. They are tailored for interpolative reasoning. Our approach to inference relies on the use of inferential independence. It is based on fuzzy output computation under an interval-valued input. A double decomposition of fuzzy inputs is done in terms of alpha-cuts and in terms of a partitioning of these cuts according to areas where only a few rules apply. The case of 1-D and 2-D inputs is considered, as ll as higher dimensional cases. An application to a cheese-making process illustrates the approach.
['Hazael Jones', 'Brigitte Charnomordic', 'Didier Dubois', 'Serge Guillaume']
I am writing a research paper on a idea Practical Inference With Systems of Gradual Implicative Rules
[{"from": "human", "value": "I am writing a research paper on a idea Practical Inference With Systems of Gradual Implicative Rules"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A general approach to practical inference with gradual implicative rules and fuzzy inputs is presented. Gradual rules represent constraints restricting outputs of a fuzzy system for each input. They are tailored for interpolative reasoning. Our approach to inference relies on the use of inferential independence. It is based on fuzzy output computation under an interval-valued input. A double decomposition of fuzzy inputs is done in terms of alpha-cuts and in terms of a partitioning of these cuts according to areas where only a few rules apply. The case of 1-D and 2-D inputs is considered, as ll as higher dimensional cases. An application to a cheese-making process illustrates the approach."}]