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A Prospective Fuzzy Approach for the Development of Integral Seismic Risk Scenarios for Barcelona, Spain

机译:西班牙巴塞罗那积分地震风险情景发展前瞻性模糊方法

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We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with social fragility indicators by mean of a fuzzy Mamdani type inference nested-model. The original values of the social economic variables were modified by arbitrary increments to simulate either constrains or improvement in their reported levels, and the Fuzzy Seismic Risk Model was applied again for each of these variations to produce a range of final integral seismic risk levels. Even if this experiment clearly needs to be further tuned, the use of fuzzy inference in the creation of risk scenarios becomes a simpler task once suitable membership functions have been defined, since the non-linear influence of each of the variables involved can be easily quantified. The final product is capable to facilitate the prospective view needed in decision-making planning while avoiding compensability issues, commonly reflected when composite indicators are used to represent social dimensions.
机译:通过模糊Mamdani型推断嵌套模型将随机地震模拟与社会脆弱指标相结合,创建了一组合成地震风险场景。通过任意增量修改了社会经济变量的原始值,以模拟其报告的水平的约束或改进,并且对这些变化的每个变化来再次应用模糊地震风险模型,以产生一系列最终的积分地震风险水平。即使这个实验清楚地进行了进一步调整,一旦定义了合适的隶属函数,就会将模糊推理的使用变得更简单,因为可以容易地量化每个变量的非线性影响。最终产品能够促进决策规划所需的预期视图,同时避免了补偿性问题,通常反映在复合指标代表社会方面时。

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