Fuzzy logic modeling of causal relationships-case study: Reasoning about construction performance

被引：0
|
作者：
Dissanayake, GM [1 ]
Chen, L [1 ]
Pedrycz, W [1 ]
Fayek, AR [1 ]
Russell, AD [1 ]
机构：
[1] Univ Alberta, Dept Civil & Environm Engn, Edmonton, AB T6G 2G7, Canada
来源：
NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Described in this paper is a logic-modeling framework, based on fuzzy neural networks (FNNs) to identify causal relationships among variables. A case study is presented from the industrial construction domain to demonstrate the capability of the proposed system in finding plausible explanations of observed performance failures.
引用
收藏
页码：605 / 610
页数：6
相关论文
共 50 条
12345