Fuzzy Agent–Based Modeling of Competency and Performance Measures in Construction-Reference-Cited by-同舟云学术

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Fuzzy Agent–Based Modeling of Competency and Performance Measures in Construction

Published:2023-12 Issue:12 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Gebretekle Yisshak Tadesse¹,Fayek Aminah Robinson²^ORCID

Affiliation:

1. Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9105–116 St. NW, Edmonton, AB, Canada T6G 1H9.

2. Tier 1 Canada Research Chair in Fuzzy Hybrid Decision Support Systems for Construction; Professor, Hole School of Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 9211–116 St. NW, Edmonton, AB, Canada T6G 1H9 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-13672

Reference28 articles.

1. Overview of construction simulation approaches to model construction processes

2. DOING COMPETENCIES WELL: BEST PRACTICES IN COMPETENCY MODELING

3. Evolutionary fuzzy decision model for construction management using support vector machine

4. Frame, J. D. 1999. Project management competence: Building key skills for individuals, teams, and organizations. San Francisco: Jossey-Bass.

5. Gebretekle Y. T. and A. R. Fayek. 2022. “Identifying multilevel metrics for construction competency and performance measures.” In Proc. Construction Research Congress 2022 744–753. Reston VA: ASCE. https://doi.org/10.1061/9780784483978.076.

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