Quantifier guided aggregation of fuzzy criteria with associated importances

Authors:
I. Blanco;M. Delgado;M. J. Martín-Bautista;D. Sánchez;M. A. Vila
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, 18071 Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, 18071 Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, 18071 Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, 18071 Granada, Spain;Department of Computer Science and Artificial Intelligence, University of Granada, Avda. Andalucia 38, 18071 Granada, Spain
Venue:
Aggregation operators
Year:
2002

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Abstract

The evaluation of quantified sentences of the form "Q of D are A" is recognized as a suitable tool for quantifier guided aggregation of fuzzy criteria with associated importances. In this paper we discuss the properties any good evaluation method should verify. We study a new method to evaluate quantified sentences. Our new method is shown to be an extension of the quantified aggregation via the Choquet integral when all the criteria are equally important and a monotone increasing quantifier is employed.