Applying Customer Non-Compensatory Decision Rules in the TOPSIS Model for the Department of Transportation Cloud Service Provider Selection
Open Access DepositedThis research paper focuses on evaluating and developing a Multi-Criteria Decision-Making Model (MCDM) decision tool to help Department of Transportation (DOT)/Federal Aviation Administration (FAA) senior executives choose the Cloud Service Providers (CSPs) with consideration of their user experience consistently. This study first represents a review of relevant literature. A Modified Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Model with a Non-Compensatory Decision Rule is proposed to be an enhancement to the Classic TOPSIS model. The proposed Modified TOPSIS model with Non-Compensatory Decision Rule is able to take into consideration customer experience, address customer’s decision-making selection criteria with a lower threshold, and provide a more accurate ranking than the Classic TOPSIS model. Sensitivity analysis shows that the proposed Modified TOPSIS model with the Non-Compensatory Decision Rule is more resilient than the Classic TOPSIS model. We evaluate our approach using a real case study to illustrate the applicability of the Modified TOPSIS model in selecting CSPs with four simulation analyses based on customers’ different budget constraints. Experimental results suggest that the Modified TOPSIS model with Non-Compensatory Decision Rule is capable of providing correct CSP rankings if a customer has lowered the threshold on certain selection criteria, such as budget. Further, we investigate the effects of criteria by visualizing performance score (Pi) tradeoffs between alternatives selection. The results show the improved efficiency in the Modified TOPSIS Model with the Non-Compensatory Decision Rule.
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