Empirical Inference System for Highway Project Delivery Selection Using Fuzzy Pattern Recognition-Reference-Cited by-同舟云学术

Empirical Inference System for Highway Project Delivery Selection Using Fuzzy Pattern Recognition

Published:2020-12 Issue:12 Volume:146 Page:04020141
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Nguyen Phuong H. D.¹^ORCID,Tran Dai Q.²,Lines Brian C.³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., 2150 Learned Hall, Lawrence, KS 66045 (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., 2135C Learned Hall, Lawrence, KS 66045.

3. Assistant Professor, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., 2135B Learned Hall, Lawrence, KS 66045. ORCID: .

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.1943-7862.0001950

Reference58 articles.

1. A fuzzy-based decision support system for ranking the delivery methods of mega projects

2. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

3. Bypaneni S. 2017. “A BN-based decision framework for selecting project delivery methods in highway construction.” Ph.D. dissertation Dept. of Civil Environmental and Architectural Engineering Univ. of Kansas.

4. Empirical Identification and Evaluation of Risk in Highway Project Delivery Methods

5. Mining Diagnostic Rules Using Fuzzy Clustering

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