Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning

UNSPECIFIED Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning.

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Abstract

This research aimed to introduce the Multi-Objective Preference Analysis (MOPA) method within Multi-Criteria Decision Analysis (MCDA) to address complex decision problems. This method was applied to improve accuracy by using modified criterion weights through pairwise comparisons. It also combined modified criterion weights with normalized alternative performance ratings using linear max techniques. Moreover, the efficacy of the MOPA method was determined in the context of Islamic tourism development. The results showed that the method consistently produced high confidence weight values compared to the other MCDA methods. This was characterized by the closeness of its values to 1 on the [0–1] scale as showed by the 0.917 recorded for the MOPA, 0.078 for Analytic Hierarchy Process (AHP), 0.066 for SAW, 0.697 for Simple Additive Weighting (SAW), and 0.700 for Multi-Objective Optimization by Ratio Analysis (MOORA). The precision associated with this method assisted Islamic tourism development by improving the decision-making quality. Furthermore, sensitivity analysis was used to confirm the robustness of the method in line with the variations in criteria weights in order to ensure its suitability for dynamic decision environments. The variance test showed that the statistical significance (p < 0.05) of the proposed MOPA method was appropriate, showing it was an effective decision-making tool compared to other methods. Therefore, the MOPA method was introduced as a powerful and reliable tool to improve decision-making, specifically in the context of Islamic tourism development. This research contributed to the body of knowledge by offering a more objective and robust method to have better informed and optimized outcomes.

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