DocumentCode
3471030
Title
Fuzzy logic modeling of causal relationships-case study: reasoning about construction performance
Author
Dissanayake, G.M. ; Chen, L. ; Pedrycz, W. ; Fayek, A. Robinson ; Russell, A.D.
Author_Institution
Dept. of Civil & Evironmental Eng., Alberta Univ., Edmonton, Alta., Canada
Volume
2
fYear
2004
fDate
27-30 June 2004
Firstpage
605
Abstract
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.
Keywords
causality; cause-effect analysis; construction; failure analysis; fuzzy logic; fuzzy neural nets; causal relationships; fuzzy logic modeling; fuzzy neural networks; industrial construction domain; Civil engineering; Computer aided software engineering; Construction industry; Fuzzy logic; Fuzzy neural networks; Job shop scheduling; Performance analysis; Personnel; Productivity; Project management;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN
0-7803-8376-1
Type
conf
DOI
10.1109/NAFIPS.2004.1337370
Filename
1337370
Link To Document