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- Article name
- ALGORITHM TO IMPROVE THE ACCURACY OF DEFUZZIFICATION OF FUZZY INFORMATION BASED ON MARKOV CHAINS, REFLECTING THE IMPACT OF NATURAL AND MAN-MADE ANOMALIES IN THE VARIATION OF THE SEMANTICS OF CONDITIONAL SCALES
- Authors
- Ryzhakov V. V., , rvv@pgta.ru, The Penza State Technological Academy, Penza, Russia
Ryzhakov M. V., , mryzhakov@applmech.mipt.ru, The Moscow Institute of Physics and Technology (State University), Moscow region, Dolgoprudny, Russia
- Keywords
- algorithm / defuzzification / fuzzy information / the semantics of conditional scales / Markov chains
- Year
- 2014 Issue 3 Pages 14 - 21
- Code EDN
- Code DOI
- Abstract
- The paper proposed and investigated algorithm defuzzification fuzzy information in which to reduce the error of estimation of the fuzzy information are taken into account variations in the semantics of conventional scales. Variations are expressed elements of Markov chains in the form of matrices of conditional probabilities of mutual transitions scales representing the probability of their relevance. Numerical experiments showed that the reduction of this error may be around 10 %.
- Text
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