Title :
Optimization model of emergency scheme based on entropy weight decision-making
Author :
Xia, Dengyou ; Qian, Xinming
Abstract :
Aimed at the fuzziness of the emergency scheme optimization, a multiattribute decision-making model based on entropy weight is presented. By digging the inherent information of candidate schemes adequately and adopting the method of entropy weight combined with experts scoring, the model can obtain a synthetic weight considering subjective and objective factors, and then entropy weight coefficients of candidate schemes are calculated, by which the optimal emergency scheme can be selected out. Case study shows that the proposed model is reasonable, reliable, and makes for decision-making scientifically, which provides a new approach to resolve fuzzy multiattribute decision-making problem and can be applied to assist commanders in making decision.
Keywords :
decision making; emergency services; entropy; fuzzy set theory; optimisation; candidate schemes; entropy weight coefficients; entropy weight decision-making-based emergency scheme; experts scoring; fuzzy multiattribute decision-making problem; optimal emergency scheme; optimization model; scientific decision making; synthetic weight; Decision making; Entropy; Fires; Indexes; Modeling; Optimization; Uncertainty; emergency scheme; entropy weight; fuzzy optimization; multiattribute decision-making; operational research;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6233891