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Generalized Fuzzy Conditional Inference Method on Fuzzy Intuitions for Granular Propositions

EasyChair Preprint no. 3524

28 pagesDate: June 1, 2020

Abstract

Fukami, Muzumoto and Tamaka are studied fuzzy intuitions based on Godel and Standard sequence definitions. The fuzzy intuitions are not fit for Zadeh fuzzy conditional inference. In this paper, fuzzy intuitions are studied with granular propositions. The fuzzy conditional inference is studied for these fuzzy intuitions which contain “and/or ”, “if then else ” and truth variables. These fuzzy intuitions are studied with propped fuzzy conditional inference. Some examples are discussed for these fuzzy intuitions.

Keyphrases: Business Intelligence, fuzzy conditional inference, Fuzzy intuitions, Fuzzy Logic, fuzzy reasoning, fuzzy sets, Fuzzy truth variables, two fold fuzzy set

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3524,
  author = {Venkata Subba Reddy Poli},
  title = {Generalized Fuzzy Conditional Inference Method on Fuzzy Intuitions  for Granular Propositions},
  howpublished = {EasyChair Preprint no. 3524},

  year = {EasyChair, 2020}}
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