Aviation Emergency Rescue Evaluation Capability Based on Improved λρ Fuzzy Measure

Hong Zhu, Nan Xie
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Abstract

The airport emergency rescue evaluation is a multi-indicator, multi-level problem and indicator attributes are associated with each other, The traditional evaluation methods include Fuzzy-AHP and so on. However, the precondition of weighted arithmetic mean is assumed that each indicator is independent, There is an association between evaluation indicators. In this paper, according to the emergency rescue capability indicators, we establish hierarchical evaluation system, and use AHP to calculate the weights. Then, an improved Fuzzy Measure is proposed to solve the problem of the traditional fuzzy measure, which has non-zero real solution or Multiple solutions. Finally we evaluate the ability of airport emergency rescue by using Choquet integral. The experimental results indicate that this method makes score more reasonable.
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基于改进λρ模糊测度的航空应急救援能力评价
机场应急救援评价是一个多指标、多层次、指标属性相互关联的问题,传统的评价方法有模糊层次分析法等。然而,加权算术平均的前提是假设各指标是独立的,评价指标之间存在关联。本文根据应急救援能力指标,建立了分级评价体系,并运用层次分析法计算权重。然后,针对传统模糊测度存在非零实解或多解的问题,提出了一种改进的模糊测度。最后利用Choquet积分对机场应急救援能力进行了评价。实验结果表明,该方法使评分更加合理。
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Aviation Emergency Rescue Evaluation Capability Based on Improved λρ Fuzzy Measure Optimized task scheduling on fog computing environment using meta heuristic algorithms
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