Fuzzy Certainty Factor for incomplete information

Venkata Subba Reddy Poli

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https://doi.org/10.1109/ifuzzy...

Article . 2016 . Peer-reviewed

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https://dx.doi.org/10.1109/ifu...

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Fuzzy Certainty Factor for incomplete information

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2016Publisher:IEEEJournal:2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy)

Authors: Venkata Subba Reddy Poli;

doi: 10.1109/ifuzzy.2016.8004920

Fuzzy Certainty Factor for incomplete information

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Abstract

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.

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Sri Venkateswara University
India

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