Original scientific paper
TOWARDS THE GENERALIZATION OF T-OPERATORS: A DISTANCE BASED APPROACH
Imre J. Rudas
; Budapest Polytechnic, Budapest, Hungary
Abstract
Aggregation is one of the key issues in the development of intelligent systems, just like with neural networks, fuzzy knowledge based systems, vision systems, and decision-making systems. From the point of view of a particular application the choice of the most appropriate operator is an important part of system design. This paper gives a brief summary of the best known operatorst- such as t-norms, t-conorms, uninorms, averaging and compensative operators, and outlines their most important properties. Two new pairs of distances, based on binary operations and their generalizations, are introduced, based on the fuzzy entropy approach, and their properties are outlined.
Keywords
t-operators; uninorms; compensatory operators; aggregation operators; entropy based operators
Hrčak ID:
78773
URI
Publication date:
15.12.1999.
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