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Knowledge Representation for Fuzzy Logic

EasyChair Preprint no. 9948

3 pagesDate: April 6, 2023


Knowledge Representation is the main component to solve the problems with Programming. Some times incomplete information has to be represented in the programming. In this paper, fuzzy logic is used to deal with uncratin information. The Knowledge Represenation is studied to represent incomplete information. This Knowledge Representation is translated in Predicates for the programming in Prolog.

Keyphrases: Fuzzy Logic, fuzzy reasoning, Knowlede representation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Venkata Subba Reddy Poli},
  title = {Knowledge Representation for Fuzzy Logic},
  howpublished = {EasyChair Preprint no. 9948},

  year = {EasyChair, 2023}}
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