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