Aggregation-Based Framework for Construction Risk Assessment with Heterogeneous Groups of Experts-Reference-Cited by-同舟云学术

Aggregation-Based Framework for Construction Risk Assessment with Heterogeneous Groups of Experts

Published:2019-03 Issue:3 Volume:145 Page:04019003
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Monzer Natalie¹,Fayek Aminah Robinson²,Lourenzutti Rodolfo³,Siraj Nasir B.⁴

Affiliation:

1. Master Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116th St. NW, Edmonton, AB, Canada T6G 1H9.

2. Tier 1 Canada Research Chair in Fuzzy Hybrid Decision Support Systems for Construction, NSERC Industrial Research Chair in Strategic Construction Modeling and Delivery, Ledcor Professor in Construction Engineering, Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-287 Donadeo Innovation Centre for Engineering, Edmonton, AB, Canada T6G 1H9 (corresponding author).

3. Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116th St. NW, Edmonton, AB, Canada T6G 1H9.

4. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116th St. NW, Edmonton, AB, Canada T6G 1H9.

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.1943-7862.0001614

Reference51 articles.

1. A review of techniques for risk management in projects

2. Risk assessment of construction projects for water conveyance tunnels using fuzzy fault tree analysis;Ardeshir A.;Int. J. Civ. Eng.,2014

3. A fuzzy AHP model in risk ranking;Askari M.;Eur. J. Bus. Manage.,2014

4. A decision support system for contractor prequalification for surety bonding

5. Contractor default prediction model for surety bonding1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

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