A Hybrid MCDM Approach Using Fuzzy AHP–TOPSIS to Evaluate Digital Logistics Market Performance in Selected Asian Economies
DOI:
https://doi.org/10.47743/saeb-2026-0029Keywords:
MCDM, AEMLI, DCI, Fuzzy AHP, Fuzzy TOPSISAbstract
National logistics benchmarks such as the Logistics Performance Index (LPI) still focus mainly on operational performance and say little about the digital capacity of logistics systems. To address this gap, this paper combines two complementary sources: the Agility Emerging Markets Logistics Index (AEMLI) and the IMD World Digital Competitiveness Ranking (DCI). Using these sources, the study evaluates digital logistics market performance in 11 selected Asian economies. The analysis applies a fuzzy multi-criteria decision-making framework. Fuzzy AHP is first used to derive criterion weights from expert pairwise comparisons, allowing subjective judgments to be expressed as triangular fuzzy numbers. Fuzzy TOPSIS is then used to rank the countries according to their closeness to the fuzzy positive ideal solution and distance from the fuzzy negative ideal solution. The assessment uses seven criteria: domestic logistics opportunities, international logistics opportunities, business fundamentals, digital readiness, knowledge, technology, and future readiness. The results place the UAE and China in the two leading positions, followed by Qatar. Malaysia and Saudi Arabia form the next group, while Jordan and the Philippines appear at the lower end of the ranking. Cross-checks using Fuzzy AHP–ARAS and Fuzzy AHP–COPRAS produce broadly consistent rankings. The originality of this paper lies in linking these two indicator sets with fuzzy weighting and ranking procedures, offering a novel and practical way to compare digital logistics readiness across the selected economies.
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