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Interval-valued hesitant fuzzy TODIM method for dynamic emergency responses
Quanyu Ding1,2, Mark Goh2, Ying-Ming Wang1,3,4
1Decision Sciences Institute, Fuzhou University, Fuzhou, 350116 Fujian People's Republic of China.
Abstract:
Emergency responses bear the characteristics of uncertainty and possess multi-attributes in decision making. This paper applies the interval evidential reasoning approach and the interval-valued hesitant fuzzy TODIM (IVHF-TODIM) method to tackle the dynamic emergency decision-making problem. We introduce a function to obtain the gain and loss degrees through the geometric area method. The gain and loss matrices of the interval belief degrees are found probabilistically. A new approach to obtaining the dominance degree matrix is proposed. From the IVHF-TODIM method, the overall dominance degree is established to provide the ranking of the decision alternatives. A recent case of selecting an emergency decision alternative for a large bushfire is used to validate the proposed method, followed by a comparative analysis.
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