Web based information for product ranking in e-business - A fuzzy approach

In this paper we have introduced a methodology to rank the available products in the Internet market. These rankings are based on the customers' own preferences and also on the information in the different search engines about the products. Linguistically defined customers' preferences about the products or product attributes are directly collected from the customers. Where as the search engines are used to accumulate the web based information of other customers' about the product. The aggregation of buyer's preferences and search engines' information is interpreted here as a measure of relevance of the search engines in providing the need based information to the buyer. Weighted average of the products across the search engines with weights as the relevance degrees of the search engines help us to obtain the product rankings in Internet market. The methodology of ordering of fuzzy subsets in the unit interval assists to obtain the preference ranking of the products in the e-business site.