Fuzzy Inference System with Probability Factor and Its Application in Data Mining

1. Dubois, D., Prade, H.: Random sets and fuzzy interval analysis. Fuzzy Sets and Systems 42, 87–101 (1991)

   Article  MATH  MathSciNet  Google Scholar 

2. Nguyen, H.T.: Fuzzy sets and probability. Fuzzy Sets and Systems 90, 129–132 (1997)

   Article  MATH  MathSciNet  Google Scholar 

3. Zheng, J., Tang, Y.: Fuzzy modeling incorporated with fuzzy D-S theory and fuzzy naive bayes. In: Webb, G.I., Yu, X. (eds.) AI 2004. LNCS (LNAI), vol. 3339, pp. 816–827. Springer, Heidelberg (2004)

   Chapter  Google Scholar 

4. Drakopolulos, J.A.: Probabilities, possibilities, and fuzzy sets. Fuzzy Sets and Systems 75, 1–15 (1995)

   Article  MathSciNet  Google Scholar 

5. Russo, M.: Genetic fuzzy learning. IEEE transactions on evolutionary computation 4(3), 259–273 (2000)

   Article  Google Scholar 

6. Pal, K., Pal, N.R.: Learning of rule importance for fuzzy controllers to deal with inconsistent rules and for rule elimination. Control and Cybernetics 27(4), 521–543 (1998)

   MATH  MathSciNet  Google Scholar 

7. Yager, R.R., Filev, D.P.: Including Probabilistic Uncertainty in Fuzzy Logic Controller Modeling Using Dempster-Shafer Theory. IEEE transactions on systems, man and cybernetics 25(8), 1221–1230 (1995)

   Article  Google Scholar 

8. Fruhwirth-Schnattter, S.: On fuzzy bayesian inference. Fuzzy Sets and Systems 60, 41–58 (1993)

   Article  MathSciNet  Google Scholar 

9. Viertl, R.: Is it necessary to develop a fuzzy Bayesian inference? In: Viertl, R. (ed.) Probability and Bayesian Statistics, pp. 471–475. Plenum Publishing Company, New York (1987)

   Google Scholar 

10. Yeung, D.S., Tsang, E.C.C.: Weighted fuzzy production rules. Fuzzy Sets and Systems 88, 299–313 (1997)

    Article  MathSciNet  Google Scholar 

11. Zadeh, L.A.: Probability measures of fuzzy events. J. Math. Analysis and Appl. 10, 421–427 (1968)

    Article  MathSciNet  Google Scholar 

Download references