Ranking Skyline Points by Computing Nearest Neighbor of Best Skyline Point

In a multi-criteria decision making system it is required to analyze more than one attribute of the table. In this context no one would be interested on a point (tuples) which is dominated by any other point in the system, they are only interested on skyline points. A point is called a skyline point if and only if it is not dominated by any other point in the system. Therefore for the multi-criteria decision making system, it needs to compute the points those are not dominated by any other point in the system. And then find the best suited value using some mathematical operations, and finally display the list of that in the sorted order, starting from the best value. This paper propose a effective way of computing skyline and ranking points by finding the Best Skyline Point (BSP) among the dataset.