A Modified AHP for Large-scale MCDM: a Case of Power Station Construction Project Selection
Keywords:Analytical hierarchy process, Multi-criteria decision, Site selection
This article proposes a novel technique to alter the analytic hierarchy process (AHP) to deal with large-scale multi-criteria decision making. Since the AHP has been a fruitful tool for decades, it has been advised that up to seven aspects should be considered. However, realistically, real-world decision problems very often have more than that. We propose assigning a significant scale from 1 to 9, like a survey questionnaire; then, we present the relative criteria scoring and modify the way of constructing the relative criteria scoring matrix. It is called the large- scale AHP. To illustrate the performance of the novel method, we conducted the experimental study by working with a regional electricity provider. The problem was deciding on selecting the power station construction project with 10 choices and 7 criteria. The result was compared with the classical AHP with a clustering technique. The outcome showed that both approaches yielded the same decision and chose the same alternative A8. Furthermore, both methods yielded the same order on weighted criteria. However, the new technique could save decision-making time by 77.08%.
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