Ride-Hailing Matching with Uncertain Travel Time: A Novel Interval-Valued Fuzzy Multi-Objective Linear Programming Approach

Sudradjat Supian (), Subiyanto, Tubagus Robbi Megantara and Abdul Talib Bon
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Sudradjat Supian: Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia
Subiyanto: Department of Marine Science, Faculty of Fishery and Marine Science, Universitas Padjadjaran, Sumedang 45363, Indonesia
Tubagus Robbi Megantara: Doctoral Program in Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Sumedang 45363, Indonesia
Abdul Talib Bon: Department of Production and Operations, Universiti Tun Hussein Onn Malaysia, Johor 86400, Malaysia

Mathematics, 2024, vol. 12, issue 9, 1-17

Abstract: This study introduces an innovative approach to tackle multi-objective linear programming (MOLP) problems amidst uncertainty, employing interval-valued fuzzy numbers. The method is tailored to resolve ride-hailing matching challenges encompassing uncertain travel times. Findings reveal that managing uncertainty parameters within interval-valued fuzzy MOLP is achieved through strategic reformulations, focusing on constraint coefficients, resulting in streamlined linear programming formulations conducive to solution simplicity. The efficacy of the proposed model in efficiently handling ride-hailing matching quandaries is demonstrated. Moreover, this study delves into the prospective applications of the developed method, including its potential for generalization to address non-linear programming (NLP) issues pertinent to the ride-hailing domain. This research advances decision-making processes under uncertainty and paves the way for broader applications beyond ride-hailing.

Keywords: multi-objective linear programming; interval-valued fuzzy numbers; uncertainty; ride-hailing matching (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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