Fuzzy Certainty Factor for incomplete information

Autor:	Venkata Subba Reddy Poli
Rok vydání:	2016
Předmět:	Fuzzy classification business.industry Fuzzy set Type-2 fuzzy sets and systems Defuzzification ComputingMethodologies_PATTERNRECOGNITION Fuzzy mathematics Fuzzy set operations Fuzzy number ComputingMethodologies_GENERAL Artificial intelligence business Membership function Mathematics
Zdroj:	2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy).
Popis:	Fuzzy logic has flexibility in defining fuzzy sets. Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. The two fold fuzzy set will give more information than the single membership function. In this paper, two fuzzy set is studied with two membership functions “Belief” and “Disbelief”. The Fuzzy Certainty Factor (FCF) is difference between “Belief” and “disbelief”. The Fuzzy Certainty Factor is studied differently. The fuzzy logic and fuzzy reasoning are studied for FCF. The medical diagnosis is given as an example.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::42845d757f6da9ec697b6c04dca8713c https://doi.org/10.1109/ifuzzy.2016.8004920 Zobrazit plný text záznamu