Situation-based allocation of medical supplies in unconventional disasters with fuzzy triangular values

Abstract

Prompt medical service and supplies are very important to reduce the life loss in response to disasters. In this work, we focus on how to allocate the limited medical supplies to affected areas in different situations with fuzzy triangular values. Using the a-cut method and Giove's acceptability index, we first propose a method of comparing fuzzy triangular numbers. Then, based on our previous work, we develop a situation-based approach for allocating medical supplies with fuzzy triangular values. A simple example shows the effectiveness of the developed approach.