Case of fuzzy loss function in multistage recognition algorithm

• 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 where a loss function is described using fuzzy numbers has been considered. The globally optimal Bayes strategy has been calculated for this case with stage-dependent and dependent on the node of the decision tree fuzzy loss function. The obtained result is illustrated by a calculation example in which some methods for ranking fuzzy numbers were used.

Słowa kluczowe

EN

multistage pattern recognition; fuzzy loss function; Bayes' rule

PL

wielostopniowe rozpoznawanie wzorców; rozmyta utrata funkcji; zasada Bajesowska

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2003
• Tom: Vol. 5
• Strony: MI107--112
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Burduk R.

• Chair of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology. Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

Bibliografia

• [1] BURDUK R., Komputerowe algorytmy rozpoznawania wieloetapowego z modelem probabilistyczno-rozmytym i ich zastosowanie w medycynie, Raport Katedry Systemów i Sieci Komputerowych, Wrocław, 2003 (in Polish).
• [2] CAMPOS L.M., GONZÁLEZ A., A Subjective Approach for Ranking Fuzzy Numbers, Fuzzy Sets and Systems 29, 145-153, 1989.
• [3] CHEN S.H., Ranking Fuzzy Numbers with Maximizing Set and Minimizing Set, Fuzzy Sets and Systems 17, 113-129, 1985.
• [4] GIL M.A., LÓPEZ-DÍAZ M., Fundamentals and Bayesian Analyses of Decision Problems with Fuzzy-Valued Utilities, International Journal of Approximate Reasoning, 203-224, 1996.
• [5] GIL M.A., LÓPEZ-DÍAZ M., A Model for Bayesian Decision Problems Involving Fuzzy-Valued Consequences, Proc. 6th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge Based Systems, Granada, Spain, 1996.
• [6] KURZYŃSKI M., Rozpoznawanie Obiektów - Metody Statystyczne, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 1997 (in Polish).
• [7] KURZYŃSKI M., 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).
• [8] YAGER R., A Procedure for Ordering Fuzzy Subsets of the Unit Interval, Information Sciences 24, 143-161, 1981.