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Fuzzy Knowledge Representation for Fuzzy Reasoning Systems

EasyChair Preprint no. 9986

4 pagesDate: April 20, 2023


The fundamental aspect of fuzzy reasoning in Expert systems is knowledge representation. It is directly knowledge representation of fuzzy propositions in Expert Systems. It is easy through the intermediate represention of Fuzzy proposition with the Fuzzy Knowledge Representation. In this paper Fuzzy Knowledge Representation is proposed for fuzzy positions to Knowledge Representation in the system.The Fuzzy Agents are independent fuzzy reasoning components reasoning with fuzzy information in the system. These Fuzzy agents are to be co-operated and co-ordinated in distributed environment. The AutomatedFuzzy Reasoning Systems (AFRS) and Distributed Automated Fuzzy Reasoning Systems(DAFRS) are studied using Fuzzy Knowledge Representation.Index

Keyphrases: Distributed Fuzzy Reasoning, Fuzzy Agents, Fuzzy Knowledge Representation, fuzzy reasoning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Venkata Subba Reddy Poli},
  title = {Fuzzy Knowledge Representation for Fuzzy Reasoning Systems},
  howpublished = {EasyChair Preprint no. 9986},

  year = {EasyChair, 2023}}
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