Model of Construction Design Projects’ Managers Qualifying by Applying Analytic Hierarchy Process and Bayes Rule

Abstract

Construction design stage in construction planning is extremely important. Project manager must be well experienced in initiating, planning and executing projects in construction. Projects’ managers characteristics are considered to be less or more important for the effective project. Qualifying of design projects’ managers is a vital part of construction process. The information about manager can be determined as a cardinal or as ordinal information. This research is the application of Analytic Hierarchy Process (AHP) for determining weights of the selected qualifying criteria and Bayes’ rule for managers’ assessment or ranking. Finally, the construction design projects’ managers qualifying case study is presented. The model presented in this study shows that the Bayes’ rule together with the Analytic Hierarchy process are effective tools for multiple criteria decision aiding.