模糊数学贴近度在商品选购中的应用

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.

The application of closeness degree algorithmin shopping

With the development of internet interaction, Fuzzy mathematics is getting more and more extensive applications at various business cases, and had already resolved plenty of practical issues up to now. 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 perfected algorithm is acquired which could help consumers make private and unique choice when shopping takes place.