Abstract
Our research work aimed to provide a new intelligent decision support approach able to reproduce partially the human’s decision making. This paper proposes a new relational Multicriteria K-means algorithm. The originality of this work is due to the use of the research resulting from the clustering approaches and the preference concept to build new model able to assist stakeholders in their decision-making. The main idea of this new method is to split the projects into hierarchical levels, classified over time. In each level, the criteria are weighed, and a mathematical relation function is developed. In order to demonstrate the usefulness and efficiency of the proposed approach, it was chosen to apply this method to the evaluation of 8 Moroccan Concentered Solar Power (CSP). The obtained result has matched the CSP’s strategy.
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Dadda, A., Ouhbi, B. (2020). Need for Using Artificial Intelligence in the Evaluation of New Industrial Project. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Lecture Notes in Electrical Engineering, vol 624. Springer, Cham. https://doi.org/10.1007/978-3-030-36475-5_17
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DOI: https://doi.org/10.1007/978-3-030-36475-5_17
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