Hybrid GA-MANFIS Model for Organizational Competencies and Performance in Construction-Reference-Cited by-同舟云学术

Hybrid GA-MANFIS Model for Organizational Competencies and Performance in Construction

Published:2022-04 Issue:4 Volume:148 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Tiruneh Getaneh Gezahegne¹,Fayek Aminah Robinson²^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 1-050 Markin/CNRL Natural Resources Engineering Facility, 9105 116 St. NW, Edmonton, AB, Canada T6G 2W2.

2. Tier 1 Canada Research Chair in Fuzzy Hybrid Decision Support Systems for Construction, NSERC Industrial Research Chair in Strategic Construction Modeling and Delivery; Professor, Hole School of Construction Engineering, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7-232 Donadeo Innovation Centre for Engineering, 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/%28ASCE%29CO.1943-7862.0002250

Reference59 articles.

1. Improving Adaptive Neuro-Fuzzy Inference System Based on a Modified Salp Swarm Algorithm Using Genetic Algorithm to Forecast Crude Oil Price

2. Efficient modeling of MIMO systems through Timed Automata based Neuro-Fuzzy Inference Engine

3. Neuro-Fuzzy Logic Model for Freeway Work Zone Capacity Estimation

4. Methods for Selection of Construction Project Manager: Case Study

5. Design and implementation of heavy metal prediction in acid mine drainage using multi-output adaptive neuro-fuzzy inference systems (ANFIS)—A case study;Agah A.;Int. J. Min. Geo-Eng.,2020

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing safety and reliability in multistory construction: A multi-state system assessment of shoring/reshoring operations using interval-valued belief functions;Reliability Engineering & System Safety;2024-12

2. Critical success criteria for construction projects: a systematic literature evaluation;Engineering, Construction and Architectural Management;2024-08-21

3. Artificial Neural Network Application in Construction and the Built Environment: A Bibliometric Analysis;Buildings;2024-08-06

4. An MCDM analysis of critical success criteria for medium and large construction projects in Australia and New Zealand;Engineering, Construction and Architectural Management;2024-05-21

5. The Impact of Artificial Intelligence on Organizational Justice and Project Performance: A Systematic Literature and Science Mapping Review;Buildings;2024-01-17