Title :
Towards language independent models based on survey data
Author :
Verkeyn, A. ; Botteldooren, D.
Author_Institution :
Dept. of Inf. Technol., Ghent Univ., Belgium
fDate :
6/24/1905 12:00:00 AM
Abstract :
The modeling of the impact of environmental pollution is often based on survey data. Language related issues are known to complicate the comparison of such models. This paper tackles this problem by isolating the model from the language of the survey data using fuzzy set theory
Keywords :
fuzzy set theory; natural languages; pollution; social sciences; environmental pollution; fuzzy set theory; language independent models; survey data; Environmental management; Fuzzy set theory; Humans; Information technology; Medical services; Pollution measurement; Sustainable development; Terminology; Vocabulary; Working environment noise;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006651