基于FAHP-TOPSIS的二手车选购方法

Based on Fuzzy Analytic Hierarchy Process and the Technique for Order Preference by Similarity to Ideal Solution for Used Car Selection Method

随着二手车市场的不断发展,人们选购二手车的需求也不断变化。根据二手车年限、排量、价格、品牌和油耗等主要选购影响因子,文章以兼顾主观、模糊不确定的模糊层级分析法(FAHP),计算影响因子之间的相对权重值;再以接近理想点法(TOPSIS)结合影响因子计算权重值后,排列出符合购买者需求的二手车选购优先顺序,最终列出最符合消费者需求的二手车。

With the continuous development of the used car market,the demand for people to buy used cars is also changing.When purchasing used cars,buyers are commonly concerned about engine displacement,years used,price,brand,and fuel consumption.The aim of this study was to help buyers calculate relative weights of criteria through a fuzzy analytic hierarchy process,which is based on subjective,fuzzy,and uncertain characteristics.For determining elements of used cars that match buyers’basic need,the technique for order preference by similarity to ideal solution was adopted along with the relative weights of decision-making criteria,which can be applied to indicate the relative ranking of used cars.