Application of uncertain variables in an adaptive decision system for a complex of operations

• Autorzy: Orski D. , Sugisaka M.
• Języki publikacji: EN

Abstrakty

EN

The paper concerns a decision plant consisting of parallel operations, which are described by relational models with unknown parameters. The unknown parameters are assumed to be values of uncertain variables characterized by certainty distributions given by an expert. The solution of a decision problem and, consequently, performance of the knowledge-based decision system is very sensitive to the forms and parameters of certainty distributions. In the paper, it is shown how application of an adaptation process, consisting in step by step changing of parameters in certainty distributions based on current performance evaluation, may improve performance of a decision system under consideration. An illustrative example and results of simulations are included.

Słowa kluczowe

EN

adaptive decision system; decision theory; knowledge-based decision system; uncertain system

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2004
• Tom: Vol. 30, no 3
• Strony: 85--94
• Opis fizyczny: Bibliogr. 8 poz., wykr.

Twórcy

autor

Orski D.

• Institute of Control and Systems Engineering, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Sugisaka M.

• Artificial Life and Robotics Laboratory, department of Electrical and Electronic Engineering, Oita University, of 700Dannoharu, Oita 870-1192, Japan

Bibliografia

• [1] Bubnicki Z., Identification of Control Plants, Elsevier, Amsterdam, Oxford, New York 1980.
• [2] Bubnicki Z., Uncertain Logics, Variables and Systems, Springer-Verlag, Berlin, London, New York, 2002.
• [3] Bubnicki Z., Application of uncertain variables to a project management under uncertainty. Proceedings of 16th International Conference on Systems Engineering, University of Coventry, Coventry 2003, 94-99.
• [4] Bubnicki Z., Quality of an operation system control based on uncertain variables. Proceedings of the International Conference on Modelling, Identification and Control, Acta Press, Zurich 2004,148-153.
• [5] Bubnicki Z., Analysis and Decision Making in Uncertain Systems, Springer-Veriag, Berlin, London, New York 2004.
• [6] Bubnicki Z., On allocation problems for a complex of parallel operations described by uncertain variables. Foundations of Computing and Decision Sciences, Vol. 29, 2004, in press.
• [7] Orski D., Quality analysis and adaptation in control systems with a controller based on uncertain variables. Systems Science, Vol. 29, No. 2, 2003, 81-93.
• [8] Orski D., Quality of cascade operations control based on uncertain variables. Artificial Life and Robotics, Vol. 9, 2005, (to be published).