DocumentCode :
2339711
Title :
Generating function representation of RIM quantifiers
Author :
Liu, Xin-Wang ; Han, Shi-Lian
Author_Institution :
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2014
Abstract :
Comparing the large number of research paper on OWA (ordered weighted averaging) operators, the research on relative quantifier are relatively rare so far. In the present paper, based on the quantifier guided aggregation method with OWA operator which was proposed by Yager, a generating function representation method for RIM (regular increasing monotone) quantifiers is proposed. We extend the properties of OWA operators to the RIM quantifiers. Some properties of the generating function and its orness measure are systematically analyzed.
Keywords :
fuzzy set theory; RIM quantifiers; generating function representation method; ordered weighted averaging operators; quantifier guided aggregation method; regular increasing monotone quantifiers; relative quantifier; Data analysis; Databases; Educational institutions; Machine learning; Natural languages; Open wireless architecture; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382125
Filename :
1382125
Link To Document :
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