Title :
An adaptive fuzzy modeling framework for characterization of subsurface contamination
Author :
Li, Bai-Lian ; Yaung, A.T.
Author_Institution :
Dept. of Ind. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
The objectives of characterization of subsurface contamination are to provide information for the evaluation of: (1) the environmental effects of these contaminants; and (2) alternate remediation measures. However, the procedure is very complex. Complete characterization is very time consuming and costly if not impossible. In this paper, we propose an adaptive fuzzy modeling framework for the characterization of potentially contaminated sites when there is a lack of complete knowledge and detailed information
Keywords :
adaptive systems; environmental science computing; fuzzy logic; knowledge based systems; pollution; uncertainty handling; adaptive fuzzy modeling; environmental effects; fuzzy logic; rule based data analysis; subsurface contamination characterisation; uncertainty handling; Civil engineering; Data analysis; Hazards; Industrial engineering; Phase estimation; Pollution measurement; Protection; Surface contamination; Uncertainty; Water resources;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375100
