DocumentCode :
424173
Title :
Fuzzy quantification method of qualitative concept in artificial intelligence
Author :
Yin, Ye
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Shanghai Normal Univ., China
Volume :
4
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
2059
Abstract :
How to quantify humanities and social science concepts? This is the first problem we encounter when we consider how to help agents have humanities and social concepts. Computer can only process data, it is unable to deal with qualitative concepts. This article discusses methods of quantification of qualitative concepts, brings forward 3 guidelines for quantifying qualitative concepts and expresses fuzzy quantity with fuzzy order pair. Quantification of a typical humanities and social science concept democracy is demonstrated as an example here. Propositions of humanities and social science can be expressed with mathematical language via quantification and eventually such propositions will enable us to realize humanities and social concepts in agents.
Keywords :
artificial intelligence; fuzzy set theory; humanities; social sciences; artificial intelligence; fuzzy order pair; fuzzy quantification method; fuzzy quantity; qualitative concept quantification; Artificial intelligence; Educational institutions; Fuzzy sets; Guidelines; Information science; Machine learning; Magnetic field measurement; Mathematics; Sun; Temperature;
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.2004.1382134
Filename :
1382134
Link To Document :
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