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

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...

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Vydané v:	Mathematics (Basel) Ročník 12; číslo 9; s. 1355
Hlavní autori:	Supian, Sudradjat, Subiyanto, Megantara, Tubagus Robbi, Bon, Abdul Talib
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.05.2024
Predmet:	Algorithms Batch processing Car pools Decision making Efficiency Fuzzy sets interval-valued fuzzy numbers Linear programming Machine learning Matching Methods multi-objective linear programming Multiple objective analysis Nonlinear programming Parameter uncertainty Performance evaluation ride-hailing matching Transportation services Travel time uncertainty User satisfaction Indonesia
ISSN:	2227-7390, 2227-7390
On-line prístup:	Získať plný text
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