I have seen lots of examples of fuzzy rules that implement IF(x is a) THEN (y is b) but I have not been able to find examples of how rules are implemented that result in a change of the form IF(x is a) THEN(y is changed by an amount b).
Would someone provide a citation or two that cover fuzzy rules that result in a change to a consequence variable rather than a value?
Cheers.
Implementing fuzzy rules involves creating a fuzzy inference system with defined input variables, fuzzifying inputs into linguistic terms, establishing fuzzy rules with antecedent and consequent parts, performing fuzzy inference to match inputs to rules, aggregating rule outputs, and defuzzifying to obtain a crisp value. To cause changes in the consequent variable, design rules and linguistic terms accordingly. For example, high temperature and low humidity triggering "increased cooling." Fuzzy logic libraries like scikit-fuzzy (Python) or Fuzzy Logic Toolbox (MATLAB) aid implementation. It's vital to carefully set membership functions, linguistic terms, and rules for effective fuzzy reasoning and decision-making.
I understand the standard process that you have laid out for fuzzy inference, but I am interested in the process where the fuzzy rule outputs are of the form of a change to a linguistic (e.g. concept_X is INCREASED_SLIGHTLY) where concept_X already has a fuzzy value...(e.g. concept_X is LARGE).
Defuzzifying before aggregating values and changes is an option, but I'd rather keep the ruleset fuzzy as long as is feasible.
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