Abstract
We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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References
Filev DP, Yager RR (1998) On the issue of obtaining OWA operator weights. Fuzzy Sets Syst 94:157–169
O’Hagan M (1990) Using maximum entropy-ordered weighted averaging to construct a fuzzy neuron. In: Proceedings 24th annual IEEE asilomar conference on signals, and Computers, Pacific Grove, Ca, pp 618–623
Xu Z (2005) An overview of methods for determining OWA weights. Int J Intell Syst 20:843–865
Yager RR (1988) On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst, Man Cybern 18:183–190
Yager RR (1993) Families of OWA operators. Fuzzy Sets Syst 59:125–148
Yager RR (1996) Quantifier guided aggregation using OWA operators. Int J Intell Syst 11:49–73
Yager RR (1997) On the inclusion of importances in OWA aggregations. In: Yager RR, Kacprzyk J (eds) The ordered weighted averaging operators: theory and applications. Kluwer, Norwell, pp 41–59
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Yager, R.R. Centered OWA Operators. Soft Comput 11, 631–639 (2007). https://doi.org/10.1007/s00500-006-0125-z
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DOI: https://doi.org/10.1007/s00500-006-0125-z