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Fuzzy Truth Maintenance System for Non-Monotonic Reasoning
- Source :
- iFUZZY
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- Sometimes Artificial Intelligence (AI) has to deal with undecided problems. An undecided problem has no computer solution. The non-monotonic problem is undecided. Fuzzy logic will make undecided into decided. Fuzzy logic with twofold fuzzy set will give conclusion for non-monotonic reasoning. In this paper, Fuzzy non-monotonic reasoning is studied with twofold fold fuzzy membership functions belief and disbelief twofold to made undecided problem in to decidable. Fuzzy certainty factor (FCF) is defined to eliminate conflict between belief and disbelief. Fuzzy truth maintenance system (FTMS) is studied for computation of fuzzy non-monotonic reasoning to make monotonic. Some examples are given for fuzzy non-monotonic reasoning.
- Subjects :
- TheoryofComputation_MISCELLANEOUS
Reason maintenance
Mathematics::General Mathematics
business.industry
Computer science
Computation
Fuzzy set
Cognition
Monotonic function
Fuzzy logic
Maintenance engineering
Decidability
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Logic in Computer Science
ComputingMethodologies_GENERAL
Artificial intelligence
business
Computer Science::Formal Languages and Automata Theory
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
- Accession number :
- edsair.doi...........7e1536aeafa65470ce516770b48bc61b
- Full Text :
- https://doi.org/10.1109/ifuzzy53132.2021.9605089