Measurement of Fuzzy Membership Functions in Construction Risk Assessment-Reference-Cited by-同舟云学术

Measurement of Fuzzy Membership Functions in Construction Risk Assessment

Published:2021-04 Issue:4 Volume:147 Page:04021005
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Nguyen Long D.¹^ORCID,Tran Dai Q.²

Affiliation:

1. Associate Professor, Dept. of Environmental and Civil Engineering, Florida Gulf Coast Univ., Fort Myers, FL 33965; Adjunct Associate Professor, Faculty of Civil Engineering, Ho Chi Minh City Open Univ., Ho Chi Minh City, Vietnam (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Kansas, Lawrence, KS 66045.

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.1943-7862.0002015

Reference67 articles.

1. Framework for Proactive Change Management: Assessing the Risk of Change in Construction Projects Using Fuzzy Fault Tree Analysis

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

3. Comprehensive Hybrid Framework for Risk Analysis in the Construction Industry Using Combined Failure Mode and Effect Analysis, Fault Trees, Event Trees, and Fuzzy Logic

4. A new hybrid fuzzy-statistical membership function based on fuzzy estimators

5. A criteria-based assessment of the coverage of Scopus and Web of Science;Aksnes D. W.;J. Data Inf. Sci.,2019

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