DocumentCode :
944278
Title :
Construction of Aggregation Operators With Noble Reinforcement
Author :
Beliakov, Gleb ; Calvo, Tomasa
Volume :
15
Issue :
6
fYear :
2007
Firstpage :
1209
Lastpage :
1218
Abstract :
This paper examines disjunctive aggregation operators used in various recommender systems. A specific requirement in these systems is the property of noble reinforcement: allowing a collection of high-valued arguments to reinforce each other while avoiding reinforcement of low-valued arguments. We present a new construction of Lipschitz-continuous aggregation operators with noble reinforcement property and its refinements.
Keywords :
fuzzy logic; learning (artificial intelligence); Lipschitz-continuous aggregation operators; disjunctive aggregation operators; high-valued arguments; low-valued arguments; noble reinforcement; recommender systems; Aggregation operators; Lipschitz aggregation operators; fuzzy logic; information fusion; monotone interpolation; noble reinforcement;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2006.890675
Filename :
4358791
Link To Document :
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