Generalized Fuzzy Non-Monotonic Reasoning Using Fuzzy Membership Functions Likely and Unlikely

EasyChair Preprint 3523, version 2

Abstract

Knowledge is key factor in AI problem solving. Sometimes knowledge available to the AI problem is incomplete. John McCarthy proposed non-monotonic reasoning for incomplete problems in which inference is changed if added some knowledge. John There is no method to solve the non-monotonic reasoning. The fuzzy non-monotonic logic is able to solve problems of non-monotonic reasoning. In this paper, fuzzy non-monotonic logic is studied to solve problems of non-monotonic reasoning. Fuzzy truth maintenance system (FTMS) algorithm is studied for fuzzy non-monotonic reasoning. Some examples are discussed for fuzzy non-monotonic reasoning.

Keyphrases: FTMS, fuzzy non-monotonic reasoning, fuzzy sets, non-monotonic reasoning, two fold fuzzy set

@booklet{EasyChair:3523,
  author    = {Venkata Subba Reddy Poli},
  title     = {Generalized Fuzzy Non-Monotonic Reasoning  Using Fuzzy Membership Functions Likely and Unlikely},
  howpublished = {EasyChair Preprint 3523},
  year      = {EasyChair, 2023}}