Z-trapezoidal risk assessment for multi-objective Hazmat routing model with time windows

Hazardous material (Hazmat) transportation is an inseparable section of the industry, despite its major financial and health risks. In order to optimize Hazmat transportation, a multi-objective routing model with time windows employed where risk distance are minimized. Due uncertainty risk, Z-number fuzzy approach used estimate in which probability occurrence severity considered context Z-information. The event includes affected population depends on amount transported number individuals by explosion. To tackle proposed model, present paper utilizes hybrid genetic algorithm, validity tested Solomon's problems. Furthermore, optimization case study concerning distribution Iran analyzed using suggested assess efficiency problem real-world applications.