Multi-attribute aggregation operators

Authors:
Roberto Ghiselli Ricci;Radko Mesiar
Affiliations:
Department of Economia Istituzioni Territorio, University of Ferrara, I-44121 Ferrara, Italy;Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology, 81 368 Bratislava, Slovakia and Institute for Research and Applications of Fuzzy Modelling, University of ...
Venue:
Fuzzy Sets and Systems
Year:
2011

Citing 8
Cited 5

Fuzzy sets, uncertainty, and information

Fuzzy sets, uncertainty, and information
Essentials of fuzzy modeling and control

Essentials of fuzzy modeling and control
Noncommutative self-identity aggregation

Fuzzy Sets and Systems
Triangular norm-based iterative compensatory operators

Fuzzy Sets and Systems - Special issue on triangular norms
Uninorms in fuzzy systems modeling

Fuzzy Sets and Systems
Aggregation functions based on penalties

Fuzzy Sets and Systems
Induced ordered weighted averaging operators

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Quantitative weights and aggregation

IEEE Transactions on Fuzzy Systems

A concise consensus support model for group decision making with reciprocal preference relations based on deviation measures

Fuzzy Sets and Systems
On the relationship between symmetric maxitive, minitive, and modular aggregation operators

Information Sciences: an International Journal
A D-S theory based AHP decision making approach with ambiguous evaluations of multiple criteria

PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
A Model for Decision Making with Missing, Imprecise, and Uncertain Evaluations of Multiple Criteria

International Journal of Intelligent Systems
Lipschitz continuity of triangular subnorms

Fuzzy Sets and Systems

Quantified Score

Hi-index	0.20

Visualization

Abstract

This paper deals with the idea of aggregation. A new, enlarged notion of aggregation operator is given, along with a classification of classical properties into some main groups. The concept of multi-attribute aggregation operator, which incorporates many classical aggregation methods, is provided. An extension of different properties to multi-attribute aggregation operators is proposed.