Ko, C H and Cheng, M Y (2007) Dynamic prediction of project success using artificial intelligence. Journal of Construction Engineering and Management, 133(4), pp. 316-324. ISSN 0733-9364
Abstract
The purpose of construction management is to successfully accomplish projects, which requires a continuous monitoring and control procedure. To dynamically predict project success, this research proposes an evolutionary project success prediction model (EPSPM). The model is developed based on a hybrid approach that fuses genetic algorithms (GAs), fuzzy logic (FL), and neural networks (NNs). In EPSPM, GAs are primarily used for optimization, FL for approximate reasoning, and NNs for input-output mapping. Furthermore, the model integrates the process of continuous assessment of project performance to dynamically select factors that influence project success. The validation results show that the proposed EPSPM, driven by a hybrid artificial intelligence technique, could be used as an intelligent decision support system, for project managers, to control projects in a real time base.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; evolutionary computation; fuzzy sets; neural networks; predictions; project management |
| Index terms: | prediction model, decision support, mapping, neural network, evolutionary computation, project manager, project success, validation, real time, fuzzy set, reasoning, fuzzy logic, artificial intelligence, genetic algorithm, monitoring, project management, project performance, control procedure |
| Subjects: | computational method, cognitive psychology, artificial intelligence, project management theory and practice, spatial and geospatial analysis, decision-making and optimization, project controls, prediction and forecasting, control systems, professional development, data science, algorithms, profession, decision analysis, project delivery |
| Topics: | Project Management, Time Control, Roles and Professions, Site Management, Information Management, Research Practice, Digital Applications, Risk Management |
| Descriptive scope: | 3 PCA |
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