Concept of multistage recognition algorithm with fuzzy factors

• Autorzy: Burduk R.
• Języki publikacji: EN

Abstrakty

EN

The work deals with a recognition problem using a probabilistic-fuzzy model and multistage decision logic. A case has been considered where a value of object features is described using fuzzy numbers. The globally optimal Bayes strategy has been calculated for this case with a stage-dependent and dependent on the node of the decision tree fuzzy loss function. The obtained result is illustrated with a calculation example.

Słowa kluczowe

EN

multistage recognition algorithm; recognition algorithm; optimal Bayes strategy; globally optimal strategy; fuzzy factor

PL

algorytm rozpoznawania wieloetapowego; algorytm rozpoznawania; strategia optymalna Bayesa; strategia globalnie optymalna; czynnik rozmyty

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2003
• Tom: Vol. 9, no 3-4
• Strony: 5--10
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Burduk R.

• Chair of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology Wyb. Wyspiańskiego 27 50-370 Wroclaw, POLAND,

Bibliografia

• [1] G. Bortolan G, R. Degani, A Review of Some Methods for Ranking Fuzzy Subsets, Fuzzy Sets and Systems, 15, pp. 1-19, 1985.
• [2] M.A. Gil, M. López-Daz, Fundamentals and Bayesian Analyses of Decision Problems wit h Fuzzy- Valued Utilities, International Journal oj Approximate Reasoning, 15, pp. 203-224, 1996.
• [3] M.A. Gil, M. López-Daz, A Model for Bayesian Decision Problems Involving Fuzzy- Valued Consequences, Proc. 6th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge [8 Based Systems, Granada, Spain, 1996.
• [4] M. Kurzyński, Rozpoznawanie Obiektów - Metody Statystyczne, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 1997 (in Polish).
• [5] M. Kurzyński, Algorytmy rozpoznawania wieloetapowego oraz ich zastosowania medyczne i techniczne, Prace naukowe Inst. Sterowania I Techniki Systemów Pol. Wr. Nr 5, Seria Monografie Nr 3, Wrocław, 1987 (in Polish).
• [6] J. Kacprzyk, Zbiory rozmyte w analizie systemowej, PWN, Warszawa 1986 (in Polish).
• [7] E.S. Lee, Q. Zhu, Comparison and Ranking of Fuzzy Numbers, [w:] Fuzzy Regression Analysis, Fedrizzi M., Kacprzyk J. [red.], Omnitech Press, Warsaw, 1992.
• [8] VV. Pedrycz, Fuzzy Sets in Pattern Recognition: Methodology and Methods, Pattern Recognition, 23, 121-146, 1990.
• [9] R. Yager, A Procedure for Ordering Fuzzy Subsets of the Unit Interval, InJormation Sciences, 24, 143-161, 1981