DOI: 10.18413/2518-1092-2016-1-3-42-51

MAIN PROVISIONS OF THE EXPERT SYSTEM WITH THE RULE OF INFERENCE BASED ON FUZZY TRUTH DEGREE

Vladimir Vladimirovich Mikhelev
Vasily Grigorievich Sinyuk

The article discusses the process of fuzzy output based on the fuzzy extent to construct fuzzy inference systems of truth. Fuzzy inference systems play an important role in many applications of the fuzzy set theory, such as fuzzy expert systems and many others. At the heart of these systems are the logical rules of the form "If ..., then ...", in which the assumptions and conclusions are fuzzy concepts. The use of fuzzy sets and fuzzy truth degree with Zadeh compositional rule of inference allows to build such an expert system which can operate with both fuzzy and with clear inputs. On the other hand, the use of fuzzy truth degree significantly increases the efficiency of solving problems, as the computational complexity of the algorithm decreases.

Keywords: fuzzy inference process, fuzzy truth degree, fuzzy sets, fuzzy inference systems, compositional rule of inference Zadeh.

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Alsina C., Frank M. J., Schweizer B. Associative Functions: Triangular Norms and Copulas. Singapore: Word Scientific, 2006.
Baldwin J. F., A new aproach to approximate reasoning using a fuzzy logic // Fuzzy Sets and Sustems, 1979 – pp 225-251.
Kudłacik P. Advantages of an Approximate Reasoning Based on a Fuzzy Truth Value // J. Medical Informatics & Technologies. 2010. V. 16. P. 125-132.
Mamdani E. H. Applications of Fuzzy Algorithm for Control a Simple Dynamic Plant // Proc. IEEE. 1974. V. 121. № 12. P. 1585-1588.
Larsen P. M., Industrial applications of fuzzy logic control, Int. J. Man Mach. Studies, vol. 12, no. I, pp. 3-10, 1980 Sciences International, 2015. pp. 375-383.
Sinuk V. G., Kutsenko D. A., Inference methods for systems with many fuzzy inputs. Journal of Computer and Systems
Tsukamoto Y., "An approach to fuzzy reasoning method," in Advances in Fuzzy Set Theory and Applications, M. M. Gupta, R. K. Ragade, and R. R. Yager, Eds. Amsterdam: NorthHolland, 1979
Borisov A. N., Alekseev A. V., Krumberg O. A. et al. Models of Decision-making on the Basis of Linguistic Variable. Riga: Zinatne 1982.
Zadeh L. A. Fuzzy Logic: the Concept of Linguistic Variable and its Application to the Adoption of the Approximate Solutions. M.: Mir, 1976. P. 167.
Kutsenko D. A., Sinyuk V. G. The Indirect Method of Fuzzy Inference Production Systems with Many Inputs // Software Products and Systems. 2008. № 1. Pp. 45-47.
Rutkowski, L. Methods and Techniques of Artificial Intelligence / L. Rutkowski; transl. from Polish. M.: Hot Line – Telecom, 2010. 520 p.
Sinuk V. G., Kutsenko D. A., Fuzzy Conclusions Based on the Fuzzy Truth Degree // Integrated Models and Soft Computing in Artificial Intelligence: Proceedings of the VII International Scientific-Technical Conference, Kolomna, May 20-22, 2013. Vol. 1. M.: FIZMATLIT, 2013. Pp. 430-436.
Sinyuk V. G., Polyakov V. M., Kutsenko D. A., Output Method Based on Fuzzy Truth Degree of Fuzzy Systems with Many Inputs // Collected scientific works of the XIV National Conference on Artificial Intelligence with international participation, Kazan, 2014. Pp.31-39.
Tara, T. Applied Fuzzy System / Tara T., K. Asai, M. Sugeno. M.: Mir, 1993. 368 p.

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