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论文类型：期刊论文

发表时间：2015-05-10

发表刊物：INFORMATION SCIENCES

收录刊物：SCIE、EI、Scopus

卷号：303

页面范围：15-32

ISSN号：0020-0255

关键字：Large-scale disasters; Relief supplies allocation; Interval numbers; Fuzzy numbers; Decision-makers' preferences

摘要：In disaster responses, emergency decision-makers often consider multiple factors for allocating relief supplies to emergency distribution points (EDPs), and the information on these factors is not always precise. In this work, we formulate a preference-based index for comparing interval numbers, then combine the preference-based index with the a-cut idea to propose a new method for comparing triangular fuzzy numbers, and finally develop an approach for proportionately allocating limited relief supplies under situations with a mixture of crisp, interval and fuzzy numbers. Numerical simulations observe several findings: (i) The optimism degrees of emergency decision-makers would have an impact on relief supplies allocation if EDP situations have different uncertainty degrees; (ii) Compared with moderate decision-makers, optimistic (pessimistic) decision-makers often allocate more (less) relief supplies to EDP situations with lower uncertainty degrees; (iii) For mixed EDP situations, as the alpha-cut level increases, the impact of decision-makers' optimism degrees is gradually reduced. (C) 2015 Elsevier Inc. All rights reserved.