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

EasyChair Preprint 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 Logic, Fuzzy certainty factor, Fuzzy truth variables, fuzzy conditional inference, fuzzy reasoning, fuzzy sets, 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 3532},
  year      = {EasyChair, 2020}}