Assortment Of Uncertainty And Randomness With Fuzzy Logic In Deception Detection For Employee Database Management System Using Hotchpotch Techniques
S. Rajkumar · 2013
Abstract: Nowadays Office Automation System handles several data with its references in an efficient manner but the lack ness is the inefficiency in identifying the deceptive datum in Employee Database management system. Sometimes deceptive information such as a fake experience or qualification may spoil many people’s opportunities or their well reputed services in the society. In this research paper we provide the techniques of Randomized approach, Fuzzified approach and Uncertainty approach with its individual and combined implementation strategies for identifying the deceptive datum. We perform the efficiency comparison among these three techniques including all such combinations called as hotchpotch techniques with an identification of deceptivedatabase experiment. The results are compared and discussed for future developments.