Fuzzy Conditional Inference with Twofold Fuzzy Set on Fuzzy Intuitions: An Application to Data Analytics

EasyChair Preprint no. 3532

Abstract

Fukami, Muzumoto and Tanak (FMK) are studied based on Godel and Standard sequence definitions. These conditional inference are based on certain con-ditions. In this paper, fuzzy conditional inference is studied for fuzzy intuitions which contain “and/or ”, “if then else ” and truth variables. some more fuzzy in-tuitions are proposed. The proposed methods satisfy many fuzzy intuitions. Zadeh first defined fuzzy set as a single membership function. The two fold fuzzy sets with two membership functions will give more evidence than a single membership. The fuzzy intuitions are studied with two fold fuzzy sets. The fuzzy certainty factor (FCF) is studied to made as a single membership function. Business intelligence is given as an example for the fuzzy intuitions.

Keyphrases: Business Intelligence, Fuzzy certainty factor, fuzzy conditional inference, Fuzzy Logic, fuzzy reasoning, fuzzy sets, Fuzzy truth variables, two fold fuzzy set

@Booklet{EasyChair:3532,
  author = {Venkata Subba Reddy Poli},
  title = {Fuzzy Conditional Inference with Twofold Fuzzy Set on Fuzzy Intuitions: An Application to Data Analytics},
  howpublished = {EasyChair Preprint no. 3532},

  year = {EasyChair, 2020}}