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Fuzzy Temporal Predicate Logic for Incomplete Information

EasyChair Preprint no. 3560, version 2

Versions: 12history
5 pagesDate: January 17, 2023

Abstract

data mining has to deal with time constraints like “Train will come late”. The time constraints maybe incomplete. Fuzzy logic will deal with incomplete information. The fuzzy temporal logic will deal with incomplete time constraints. In this paper, Fuzzy temporal mining algorithms are discussed for data mining methods. The fuzzy temporal data mining algorithms will reduce the computationsand time. Fuzzy temporal reasoning is discussed as classification. Some examples are given as an application

Keyphrases: Fuzzy Databases, Fuzzy Logic, fuzzy temporal data mining, Fuzzy Temporal Databases

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3560,
  author = {Venkata Subba Reddy Poli},
  title = {Fuzzy Temporal Predicate Logic for Incomplete Information},
  howpublished = {EasyChair Preprint no. 3560},

  year = {EasyChair, 2023}}
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