Identifying Best Products Based on Multiple Criteria Using Descision Making System

Abstract

The necessity of dominance and skyline analysis has been developed in multi-level solution creating applications. Earlier researches stares on the way to help users to get a set of efficient possible products from a stream of available products. In this paper, we explored different crisis of a problem, retrieving top-k preferable products, which are not explored in previous researches. Available a set of products in the existing system, we are in need to hunt a set of k efficient available products incase these new ones are not influenced by the products which are already present in the old market. We research couple of problems of getting top-k preferable products. In the first crisis instance, we are in situation to set the cost of these products in that way the complete profit is increased. Those products which are capable known as top-k profitable products. Approaching to another problem or crisis, we are in need to get k products in that way these k products are capable of attracting the huge number of users. Such products are referred as top-k products. Moreover, there are a multiple number of available subsets. In this paper, we prefer solutions to get the top-k profitable products which are of accurate in nature and also the top-k popular products efficiently. An extreme working research by utilizing both synthetic and real data sets is referred to examine the accuracy and efficiency of referred algorithm.