Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency-Reference-Cited by-同舟云学术

Fuzzy Arithmetic Risk Analysis Approach to Determine Construction Project Contingency

Published:2016-12 Issue:12 Volume:142 Page:04016070
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Elbarkouky Mohamed M. G.¹,Fayek Aminah Robinson²,Siraj Nasir B.³,Sadeghi Naimeh⁴

Affiliation:

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

2. Professor, NSERC Industrial Research Chair, Ledcor Professor in Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, Edmonton, AB, Canada T6G 1H9 (corresponding author).

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

4. Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-203 Donadeo Innovation Centre for Engineering, 9211 116 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.1943-7862.0001191

Reference36 articles.

1. AACE (Association for the Advancement of Cost Engineering) International. (2007). “Cost engineering terminology.” Recommended Practice 10S-90 Morgantown WV.

2. Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP

3. Fuzzy Reliability Analyzer: Quantitative Assessment of Risk Events in the Construction Industry Using Fuzzy Fault-Tree Analysis

4. Abdelgawad M. A. (2011). “Hybrid decision support system for risk criticality assessment and risk analysis.” Ph.D. dissertation Univ. of Alberta Edmonton Canada.

5. Abebe A. J. Guinot V. and Solomatine D. P. (2000). “Fuzzy alpha-cut versus Monte Carlo techniques in assessing uncertainty in model parameters.” Proc. 4th Int. Conf. on Hydroinformatics Cedar Rapids IA 1–8.

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