1 Neutrosophic Relational Data Model Haibin wang Biostatistics Research and Informatics Core Winship Cancer Institute Emory University Atlanta, GA, 30322 haibin.wang@emoryhealthcare.org Rajshekhar Sunderraman Department of Computer Science Georgia State University Atlanta, GA, 30303 raj@cs.gsu.edu Florentin Smarandache Department of Mathematics University of New Mexico Gallup, NM 87301 smarand@unm.edu André Rogatko Biostatistics Research and Informatics Core Winship Cancer Institute Emory University Atlanta, GA, 30322 andre.rogatko@emoryhealthcare.org Abstract In this paper, we present a generalization of the relational data model based on interval neutrosophic set [1]. Our data model is capable of manipulating incomplete as well as inconsistent information. Fuzzy relation or intuitionistic fuzzy relation can only handle incomplete information. Associated with each relation are two membership functions one is called truth-membership function T which keeps track of the extent to which we believe the tuple is in the relation, another is called falsity-membership function F which keeps track of the