Rashidi, A; Jazebi, F and Brilakis, I (2011) Neurofuzzy genetic system for selection of construction project managers. Journal of Construction Engineering and Management, 137(1), pp. 17-29. ISSN 0733-9364
Abstract
Choosing a project manager for a construction project-particularly, large projects-is a critical project decision. The selection process involves different criteria and should be in accordance with company policies and project specifications. Traditionally, potential candidates are interviewed and the most qualified are selected in compliance with company priorities and project conditions. Precise computing models that could take various candidates' information into consideration and then pinpoint the most qualified person with a high degree of accuracy would be beneficial. On the basis of the opinions of experienced construction company managers, this paper, through presenting a fuzzy system, identifies the important criteria in selecting a project manager. The proposed fuzzy system is based on IF-THEN rules; a genetic algorithm improves the overall accuracy as well as the functions used by the fuzzy system to make initial estimates of the cluster centers for fuzzy c-means clustering. Moreover, a back-propagation neutral network method was used to train the system. The optimal measures of the inference parameters were identified by calculating the system's output error and propagating this error within the system. After specifying the system parameters, the membership function parameters-which by means of clustering and projection were approximated-were tuned with the genetic algorithm. Results from this system in selecting project managers show its high capability in making high-quality personnel predictions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction project manager; fuzzy system; parameter identification; selection criteria |
| Index terms: | project manager, parameter identification, propagation, clustering, selection criteria, estimate, specification, genetic algorithm, personnel, compliance, manager, construction company, accuracy, computing, construction project |
| Subjects: | health safety and environment, contractual condition, production management, professional development, management, tendering, algorithms, data analysis and analytics, data science, financial and cost management, computing systems, practitioner, profession, engineering process, organization |
| Topics: | Human Resources, Digital Applications, Contract Administration, Project Management, Research Practice, Information Management, Engineering Principles, Cost Management, Business Strategy, Health and Safety, Procurement, Roles and Professions |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here