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ASYMPTOTICALLY IDEMPOTENT AGGREGATION OPERATORS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009
This paper deals with aggregation operators. A new form of idempotency, called asymptotic idempotency, is introduced. A critical discussion of the basic notion of aggregation operator, strictly connected with asymptotic idempotency, is provided. Some general construction methods of symmetric, asymptotically idempotent aggregation operators admitting a
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Weak uninorm aggregation operators

Information Sciences, 2000
By weakening the identity condition for uninorms, a general class of associative aggregation operators, called weak uninorms, is introduced. It is proved that a continuous weak uninorm is a combination of a continuous t-norm and a continuous t-conorm through a median operator.
Yong-Ming Li 0001, Zhong-Ke Shi
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Measure-based aggregation operators

Fuzzy Sets and Systems, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Erich-Peter Klement   +2 more
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Generalized OWA Aggregation Operators

Fuzzy Optimization and Decision Making, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Characterization of invariant aggregation operators

Fuzzy Sets and Systems, 2004
Aggregation of numerical data not reflecting the ordinal structure of input data suffers from the chosen scale we deal with. If the ordinal structure of input data is dominant, the corresponding aggregation should be invariant under transformations preserving the ordinal structure.
Radko Mesiar, Tatiana Rückschlossová
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Aggregation of Information and Aggregation Operators

2013
Huge amount of information one meets nowadays in a lot of areas of human activity makes information aggregation an extremely important and challenging issue. This chapter presents aggregation operators, a formal tool for aggregation of numerical information. Main types and properties of those operators will be discussed.
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Nondeterministic aggregation operators and systems

International Journal of Intelligent Systems, 1998
We will continue here the research work, the goal of which was to introduce the notion of nondeterministic aggregation operators and study their properties, even in relation to classification systems and the associated learning problem. Here we will concentrate mostly on the notion of the nondeterministic aggregation system and its relation with ...
CUTELLO, Vincenzo, Montero J.
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Gagg: A Graph Aggregation Operator

2015
Graph aggregation is an important operation when studying graphs and has been applied in many fields. The heterogeneity, fine-granularity and semantic richness of RDF graphs introduce unique requirements when aggregating the data. In this work, we propose Gagg, an RDF graph aggregation operator that is both expressive and flexible.
Fadi Maali   +2 more
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Algorithm for T-spherical fuzzy MADM based on associated immediate probability interactive geometric aggregation operators

Artificial Intelligence Review, 2021
Azmat Hussain   +2 more
exaly  

Aggregative Operators

2021
József Dombi, Orsolya Csiszár
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