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Approximate Reasoning on Fuzzy Constructs for Data Science

EasyChair Preprint no. 3585

10 pagesDate: June 10, 2020

Abstract

Data Science is statistics and programming. We consider fuzzy conditional inference of the form " if ... then ..." , "if ... then ... else...". and " if ... and/or ... and/or then ..." in this paper. We propose four method of inference applying logical constructs developed by Mizumoto. We show how these methods satisfy our intuitions under several criteria

Keyphrases: approximate reasoning, Data Science, fuzzy constructs, Fuzzy Logic

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3585,
  author = {Venkata Subba Reddy Poli},
  title = {Approximate Reasoning on Fuzzy Constructs for Data  Science},
  howpublished = {EasyChair Preprint no. 3585},

  year = {EasyChair, 2020}}
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