Beliakov, Gleb and Troiano, Luigi 2007, Fitting ST-OWA operators to empirical data, in New Dimensions in Fuzzy Logic and Related Technologies : proceedings of the 5th EUSFLAT conference, Ostrava, Czech Republic, September 11-14, 2007, University of Ostrava, Ostrava, Czech Republic, pp. 67-73.
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The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some circumstances, it is useful to consider a wider range of values, extending below the minimum and over the maximum. ST-OWA are able to surpass the boundaries of variation of ordinary compensatory operators. Their application requires identification of the weighting vector, the t-norm, and the t-conorm. This task can be accomplished by considering both the desired analytical properties and empirical data.
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9788073683863 8073683865 9788073683870 8073683873
Field of Research
080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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