Download PDFOpen PDF in browser

Generalized Fuzzy Neural Net and Application to Reinforcement Learning

EasyChair Preprint no. 3559

6 pagesDate: June 7, 2020

Abstract

the information available to the system is incomplete in many applications particularly

in control systems, medicine and business.  Sometimes decision has to be taken with

the incomplete information The fuzzy logic is useful in decision making. The fuzzy

logic deals incomplete information with belief rather than likelihood (probability).

Learning is necessary while deal with decision making, The fuzzy neural net is useful

to take the decision because it needs threshold.  In this paper, The fuzzy neural net is

discussed. The fuzzy decision set is defined with two fold fuzzy set. The fuzzy

inferences are studied with fuzzy neural network. The decision support system is given

Keyphrases: fuzzy neural net, Generalized fuzzy logic, Reinforcement Learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3559,
  author = {Venkata Subba Reddy Poli},
  title = {Generalized Fuzzy Neural Net and Application to Reinforcement Learning},
  howpublished = {EasyChair Preprint no. 3559},

  year = {EasyChair, 2020}}
Download PDFOpen PDF in browser