模糊数学贴近度在商品选购中的应用
The application of closeness degree algorithmin shopping

以汽车选购为例，采用模糊数学中模糊模型识别的方法，改进当前电子商务中的购物应用软件. 将消费者对事物的期望值进行量化，创建相应的数学模型，改进并完善贴近度算法，最终得到一套在商品选购中最贴近消费者需求的算法.
In this paper，author tries to improve and develop the software and APPs of E-business using the fuzzy model identification in a case study on automobile purchase activity. The author created a new relative mathematical model based on quantizing the expectation of customer，and then established a new closeness degree algorithm via improving and modifying the traditional algorithm. A perfectedalgorithm is acquired which could help consumers make private and unique choice when shopping takes place