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Information Journal Paper

Title

An identi cation model for a fuzzy time based stationary discrete process

Pages

  169-186

Abstract

 A new approach of fuzzy processes, the source of which are expert knowledge reflections on the states on Stationary Discrete Extremal Fuzzy Dynamic System (SDEFDS) in extremal fuzzy time intervals, are considered. A fuzzy-integral representation of a stationary discrete extremal fuzzy process is given. A method and an algorithm for identifying the transition operator of SDEFDS are developed. The SDEFDS transition operator is restored by means of expert knowledge reflections on the states of SDEFDS. The regularization condition for obtaining of the quasi-optimal estimator of the transition operator is represented by the theorem. The corresponding calculating algorithm is provided. The results obtained are illustrated by an example in the case of a finite set of SDEFDS states.

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    • Cite

    APA: Copy

    Sirbiladze, G.. (2022). An identi cation model for a fuzzy time based stationary discrete process. IRANIAN JOURNAL OF FUZZY SYSTEMS, 19(1 ), 169-186. SID. https://sid.ir/paper/412173/en

    Vancouver: Copy

    Sirbiladze G.. An identi cation model for a fuzzy time based stationary discrete process. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2022;19(1 ):169-186. Available from: https://sid.ir/paper/412173/en

    IEEE: Copy

    G. Sirbiladze, “An identi cation model for a fuzzy time based stationary discrete process,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 19, no. 1 , pp. 169–186, 2022, [Online]. Available: https://sid.ir/paper/412173/en

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