A fuzzy expert system for site characterization

被引：14

作者：

Hu, ZY

Chan, CW ^{[1
]}

Huang, GH

机构：

[1] Univ Regina, Fac Sci, Dept Comp Sci, Energy Informat Lab, Regina, SK S4S 0A2, Canada

[2] Univ Regina, Fac Engn, Regina, SK S4S 0A2, Canada

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2003年 / 24卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

site remediation; fuzzy set theory; fuzzy relation; soil classification;

D O I：

10.1016/S0957-4174(02)00090-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Remediation selection expert system (RSES) is a rule-based expert system which is used for the selection of remediation techniques for petroleum contaminated sites. In this paper, we describe a fuzzy logic-based subsystem: site characterization subsystem (SCSS). It is an enhancement of the RSES, which is used to analyse the hydraulic properties of contaminated sites. This paper focuses on an explanation on how to apply fuzzy set theory for identification of soil types and hydraulic properties of a contaminated site. To illustrate application of fuzzy set theory to the problem, two sample cases are presented in detail. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：123 / 131

页数：9

共 17 条

[1]

[Anonymous], 1997, SITE REMEDIATION PLA

[2]

[Anonymous], 1991, MANAGING UNCERTAINTY

[3]

Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141

[4] DEVELOPING JOINT PROBABILITY-DISTRIBUTIONS OF SOIL-WATER RETENTION CHARACTERISTICS [J].