FITTING GENERATED AGGREGATION OPERATORS TO EMPIRICAL DATA-Reference-Cited by-同舟云学术

FITTING GENERATED AGGREGATION OPERATORS TO EMPIRICAL DATA

Published:2004-04 Issue:02 Volume:12 Page:219-236
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

BELIAKOV GLEB¹,MESIAR RADKO²,VALASKOVA LUBKA²

Affiliation:

1. School of Information Technology, Deakin University, 221 Burwood Hwy, Burwood, 3125, Australia

2. Department of Mathematics, Faculty of Civil Engineering, Slovak University of Technology, Radlinskeho 11, 81368 Bratislava, Slovakia

Abstract

This paper treats the problem of fitting general aggregation operators with unfixed number of arguments to empirical data. We discuss methods applicable to associative operators (t-norms, t-conorms, uninorms and nullnorms), means and Choquet integral based operators with respect to a universal fuzzy measure. Special attention is paid to k-order additive symmetric fuzzy measures.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488504002783

Reference33 articles.

1. A review of fuzzy set aggregation connectives

2. Fuzzy Set Theory—and Its Applications

3. Aggregation Operators: Properties, Classes and Construction Methods

4. Latent connectives in human decision making

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