DocumentCode
2622649
Title
On a class of linear concurrence operators
Author
Yager, Ronald K. ; Rybalov, Alexander
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
fYear
1997
fDate
21-24 Sep 1997
Firstpage
383
Lastpage
387
Abstract
Mean operators are often used to find a representative value for a collection of data. A new class of operators, in the same spirit as mean operators, called concurrence operators are then introduced which replace the idempotency condition by the stronger conditions of natural boundedness and self identity and removes the requirement of commutativity. A class of linear concurrence operators are then considered. The condition of self identity is shown to impose a strong requirement on the relationship between these operators for different cardinalities of arguments. This requirement allows us to define in a consistent manner noncommutative concurrence operators. A number of special cases are then considered
Keywords
data analysis; data handling; fuzzy set theory; commutativity; idempotency condition; linear concurrence operators; mean operators; natural boundedness; noncommutative concurrence operators; numerical data aggregation; self identity; Commutation; Educational institutions; Indexing; Machine intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1997. NAFIPS '97., 1997 Annual Meeting of the North American
Conference_Location
Syracuse, NY
Print_ISBN
0-7803-4078-7
Type
conf
DOI
10.1109/NAFIPS.1997.624071
Filename
624071
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