2020
DOI: 10.31181/oresta2003111m
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PRIORITIZATION of ROAD TRANSPORTATION RISKS: AN APPLICATION in GİRESUN PROVINCE

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Cited by 27 publications
(16 citation statements)
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“…In the study [77], a new hybrid model which integrates the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) was created for the selection of equipment in a container terminal. Furthermore, the authors in [78] utilized a fuzzy pivot pairwise relative criteria importance assessment (Fuzzy PIPRECIA) technique to evaluate and rank the road transportation risk elements in the Giresun province.…”
Section: Discussionmentioning
confidence: 99%
“…In the study [77], a new hybrid model which integrates the fuzzy step-wise weight assessment ratio analysis (FSWARA) and the fuzzy best-worst method (FBWM) was created for the selection of equipment in a container terminal. Furthermore, the authors in [78] utilized a fuzzy pivot pairwise relative criteria importance assessment (Fuzzy PIPRECIA) technique to evaluate and rank the road transportation risk elements in the Giresun province.…”
Section: Discussionmentioning
confidence: 99%
“…Stević et al [11] introduced the F-PIPRECIA method for the barcode technology implementation case. Furthermore, this approach has been successfully applied in many areas, including selecting reach stacker [41], road transportation risk analysis [42], green supplier selection [43], determining the safety level in railway crossings [44], and the highperformance computing problem [45]. The F-PIPRECIA method needs the following steps for calculation [11]:…”
Section: F-piprecia Methodsmentioning
confidence: 99%
“…The determination of transportation and traffic risk is a very popular and interesting activity that can help participants avoid risk and conflict situations. The authors in [30] applied a fuzzy pivot pairwise relative criteria importance assessment (Fuzzy PIPRECIA) method to determine and rank the road transportation risk factors in the Giresun province.…”
Section: Literature Reviewmentioning
confidence: 99%