Application of Grey Relational Analysis on Insurance Products Choice

[[abstract]]Insurance have two hundred years of history. Insurance form and appearance are constantly changing along with society's pace. In recent years, the Government is actively promoting the pace of internationalization and liberalization. In addition to financial and insurance personnel must be familiar with insurance, general business, families, and individuals also need to know about the insurance. Today, everyone has two life insurance policies has become a foundation. Select insurance products become increasingly progressive general population or family must face an important topic. However, the insurance have many kinds. Selling insurance salesman, marketing methods used are the following. The latest insurance products sold to existing customers. Selling all the basic insurance products of people in the first met. In recent years, but adds the items of investment insurance of such goods. The emergence of new products to sell goods salesman in need has been learning. Experienced salesman to a customer will want to sell all and keep all the kind of the insurance products. The new salesman is to find his favorite event has been selling goods. When choosing insurance products, salesman and the customer choice between the way of the few. In this paper, we use “Grey relational analysis” method with insurance products of choice. Using this method, the most important thing is to use fewer data and data uncertainty in the choice of insurance products. In principle, our research approach is based on ordinary salesman doing based on data from market research to obtain data. Then we use data to arrange obtain from grey system. So we can understand the intention of select insurance products about people. To provide decision-making information to allow salesmen to understand the first time the people in the choice of insurance products on the based