Journal of Decision Engineering

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Supervising engineers are one of the most important actors in construction industry and have an important role in improving quality and increasing safety. However, assigning projects to these engineers in some cases are unjust and inefficient. Therefore, in this paper a recommender system is developed in which the competencies of engineers along with the features of the projects are considered. This is done in three phases: in the first phase, the key competencies are defined. The engineers are then classified into two classes and ranked in each class. In the second phase, the projects are evaluated and ranked based on the key features selected from the national and international standards. Finally, in the third phase, the projects are assigned to the respective engineers. In order to implement the developed system, Damghan construction engineering organization is selected and the obtained results are evaluated using an expert pannels. The results show that the recommendations are done accurately in about 87% cases.
 

Keywords: Recommander system, Classification, Data envelopement analysis, Simple additive weighting, construction engineering organization

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