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Approximate Reasoning on Fuzzy Constructs for Data Science

EasyChair Preprint 3585, version 1

Versions: 12history
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: Data Science, Fuzzy Logic, approximate reasoning, fuzzy constructs

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 3585},
  year      = {EasyChair, 2020}}
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