An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Selecting the right truck tractor is critical for logistics companies involved in road freight transportation. The fact that having many conflicting criteria and alternatives complicates decision-making process decision-makers (DMs). determination of are effective selection tractors then evaluation main objectives this study. In context, a hybrid Multi-Criteria Decision-Making (MCDM) model composed Fuzzy PIPRECIA (F-PIPRECIA) COPRAS (F-COPRAS) methods proposed to be used tractors. related literature, no studies applied F-PIPRECIA F-COPRAS together determine best have been published yet. regard, study thought contribute literature both terms application selection. Moreover, findings will pave way those who conduct academic authorities transport sector.