Predicting and Evaluating Construction Trades Foremen Performance: Fuzzy Logic Approach-Reference-Cited by-同舟云学术

Predicting and Evaluating Construction Trades Foremen Performance: Fuzzy Logic Approach

Published:2009-09 Issue:9 Volume:135 Page:920-929
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Poveda Cesar Augusto¹²,Fayek Aminah Robinson¹²

Affiliation:

1. Facility Process Manager, Ledcor Fabrication Inc., Nisku AB, Canada T9E 8M1.

2. Professor, NSERC Associate Industrial Research Chair, Ledcor Professor in Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Alberta, Edmonton AB, Canada T6G 2W2 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CO.1943-7862.0000061

Reference20 articles.

1. Model for Predicting the Performance of Project Managers at the Construction Phase of Mass House Building Projects

2. Ammar S. and Wright R. (1995). “A fuzzy logic approach to performance evaluation.” Proc. ISUMMA-NAFIPS IEEE Computer Society Washington D.C. 246–251.

3. Job Performance Dimensions for Improving Final Project Outcomes

4. Competency-Based Model for Predicting Construction Project Managers’ Performance

5. Dissanayake M. and Fayek A. R. (2007). “Assigning membership in fuzzy set analysis for construction management applications.” Proc. 2007 ASCE Construction Research Congress CIB Grand Bahama Island Bahamas.

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