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
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;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1337370
