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Fuzzy Conditional Inference and Reasoning for Fuzzy Granular Propositions using Two Fold Fuzzy Logic

EasyChair Preprint no. 3524, version 2

Versions: 123history
16 pagesDate: November 15, 2022

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 = {Fuzzy Conditional Inference and Reasoning for Fuzzy Granular Propositions using Two Fold Fuzzy Logic},
  howpublished = {EasyChair Preprint no. 3524},

  year = {EasyChair, 2022}}
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