Download PDFOpen PDF in browser

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

EasyChair Preprint no. 3523

8 pagesDate: May 31, 2020

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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:3523,
  author = {Venkata Subba Reddy Poli},
  title = {Generalized Fuzzy Non-Monotonic Reasoning  Using Fuzzy Membership Functions Likely and Unlikely},
  howpublished = {EasyChair Preprint no. 3523},

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