Fuzzy Risk Sets for Decision making

EasyChair Preprint 3559, version 2

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: Generalized fuzzy logic, Reinforcement Learning, fuzzy neural net

@booklet{EasyChair:3559,
  author    = {Venkata Subba Reddy Poli},
  title     = {Fuzzy Risk Sets for Decision making},
  howpublished = {EasyChair Preprint 3559},
  year      = {EasyChair, 2022}}