Abstract

The Analytic Hierarchy Process (AHP) method has been employed in a previous study to determine Bali provincial road handling priority. This method usually overlooks the decision maker’s degrees of confidence and optimism of the decision. Meanwhile, Fuzzy Analytic Hierarchy Process (FAHP) -cut based and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods allow the researcher to estimate the overall road handling priority considering on degrees of confidence and optimism of the decision. The present study aims at determining Bali provincial road handling priority using FAHP -cut based and TOPSIS methods. The current study shows that decision makers’ degree of confidence in both pessimistic and moderate situations and optimism from certain to the most uncertain conditions suggesting the same road link as the highest priority compared to the previous study. Both current and previous studies also conclude the same road link as the lowest road handling priority.

Highlights

  • Road handling priority is deemed as a complicated multi-criteria decision making process

  • The study suggested that the Analytic Hierarchy Process (AHP) is effective and logical in determining Bali provincial road handling priority

  • This study aims to determine provincial road handling priority using Fuzzy Analytic Hierarchy Process (FAHP) -cut based and TOPSIS methods considering Bali provincial road links as the case study area

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Summary

Introduction

Road handling priority is deemed as a complicated multi-criteria decision making process. In a previous study [1], the macro transportation system [2] was used to construct the main and sub criteria of the problem and the Analytic Hierarchy Process (AHP) was used to determine provincial road handling in Bali. The study suggested that the AHP is effective and logical in determining Bali provincial road handling priority. The AHP method, may not entirely show a way of human thinking because the experts/decision makers typically tend to express interval judgments rather than sorts of single numeric values [3]. The pairwise comparison (PC) ratios in the AHP are in crisp real numbers [4] and decisions always consisting vagueness and variety of meaning. The descriptions of decision makers are typically linguistic and vague

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