Top-k Ranking with Membership Function for Deductive Database
Keerachart Suksut, Pasapitch Chujai, Nittaya Kerdprasop, Kittisak Kerdprasop · International Journal of Computer Theory and Engineering · 2014
The objective of this research is to study top-k ranking in the queries that are ambiguous.In this paper we demonstrate our query answering strategy for ranking world population for deductive data base.The cause of most problems are wrong ranking because some questions have ambiguity such as "Find the country which have the population between 1,500,000 and 3,000,000 people by the most densely population is approximately 2,400,000 people."This research proposes top-k ranking technique using membership function to evaluate and rank possible answers.We show comparative results for each kind of membership function.