On the issue of obtaining OWA operator weights

Fuzzy Sets and Systems

Volumn 94, Issue 2, 1998, Pages 157-169

  Filev, Dimitar ^a   Yager, Ronald R ^b  

^a FORD MOTOR COMPANY   (United States)

^b MACHINE INTELLIGENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000565333     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(96)00254-0     Document Type: Article

References (8)

1. R.G. Brown, Smoothing, Forecasting and Prediction of Discrete Time Series (Prentice-Hall, Englewood Cliffs, NJ, 1963).
2. P. Eklund and F. Klawonn, Neural fuzzy logic programming, IEEE Trans. Neural Networks 3 (1992) 815-819.
3. K.J. Engemann, H.E. Miller and R.R. Yager, Decision making with belief structures: an application in risk management, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 4 (1996) 1-26.
4. J. Kacprzyk, Inductive learning from considerably erroneous examples with a specificity based stopping rule, Proc. Internat. Conf. on Fuzzy Logic and Neural Networks, Iizuka, Japan (1990) 819.
5. M. O'Hagan, Aggregating template rule antecedents in real-time expert systems with fuzzy set logic, Proc. 22nd Ann. IEEE Asilomar Conf. on Signals, Systems and Computers, Pacific Grove, CA (1988) 681-689.
6. T. Rubinson, Communication networks, Ph.D. Thesis, Polytechnic Institute of New York, 1992.
7. R.R. Yager, On ordered weighted averaging aggregation operators in multi-criteria decision making, IEEE Trans. Systems Man Cybernet. 18 (1988) 183-190.
8. R.R. Yager, OWA neurons: a new class of fuzzy neurons, Proc. Internat. Joint Conf. on Neural Networks, Vol. I, Baltimore, I (1992) 226-231.