Modeling of algorithmic process reliability with fuzzy source data

• Autorzy: Rotshtein A. , Shtovba S.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes the method, which allows predicting such reliability figures of a discrete algorithmic process as the fuzzy time and the fuzzy probability of correct execution. Fuzzy numbers represents the uncertain source modeling data. Fuzzy rule bases used for taking into account dependence of source data on many influencing factors. Fuzzy logic inference, fuzzy extension principle together the crisp reliability models of algorithmic processes are used for modeling.

Słowa kluczowe

EN

fuzzy reliability; algorithmic process; fuzzy number; fuzzy extension principle

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2006
• Tom: nr 2
• Strony: 40--43
• Opis fizyczny: bibliogr. 11 poz.

Twórcy

autor

Rotshtein A.

autor

Shtovba S.

• Industrial Engineering and Management Department, Jerusalem College of Technology - Machon Lev, 21 HaVaad HaLeumi St., Givat Mordechai, Jerusalem, 91160, Israel,

Bibliografia

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• [3] Rotshtein A.: Probabilistic-Algorithmic Models of Man-Machine Systems // Soviet Journal Automation and Information Science.– 1987, No 5. P.81-86.
• [4] Korolyuk, V.S. and Turbin, A.F. (1976): Phase Aggregation of Complex Systems, Kiev: Vishcha Shkola. [In Russian].
• [5] Rotshtein, A. (1994): Fuzzy reliability analysis of man-machine systems. In Reliability and Safety Analysis under Fuzziness, Studies in Fuzziness, Berlin: Physika-Verlag, Springer-Verlag, pp. 245-270.
• [6] Rotshtein, A. and Shtovba, S. (1997): Fuzzy Reliability Analysis and Optimization of Algorithmic Processes // Proc. of the Fifth European Congress on Intelligent Techniques and Soft Computing, Germany, Aachen, pp. 67-71.
• [7] Rotshtein, A. and Shtovba, S. (1998): Prediction the Reliability of Algorithmic Processes with Fuzzy Input Data. Cybernetics and Systems Analysis. Vol. 34., No.4, pp.545-552.
• [8] Zadeh, L. (1965): Fuzzy Sets // Information and Control. Vol.8, pp.338-358.
• [9] Zimmerman, H.-J. (1996): Fuzzy Set Theory and its Applications. Kluwer Academic Publishers, Dordrecht. [10] Cai, K.-Y. (1996): Introduction to Fuzzy Reliability. Kluwer Academic Publishers, Dordrecht.
• [11] Glushkov, V. M., Tseitlin, G. E., and Yushchenko, E. L. (1978): Algebra. Languages. Programming. Kiev: Naukova Dumka. [In Russian].