Tuesday 23rd of April 2024
 

Generalization of Functional Dependencies in Total Neutrosophic Relation


Meena Arora and U. S. Pandey

Essentially the data and documents on the Web are heterogeneous; inconsistency is unavoidable in Web mining. Using the presentation and reasoning method of our method, it is easier to capture imperfect information on the Web which will provide more potentially valued-added information. We introduce the concept of total neutrosophic relation with a new type of Functional dependency for the searching techniques using the neutrosophic theory to meet the predicates posed in natural language in order to answer imprecise queries of the lay users. For this neutrosophic set needs to be specified from a technical point of view. To this effect we define the set theoretic operators on an instance of neutrosophic set. It may be claimed that the method could be well incorporated in the existing commercial query languages so that the users of any level of knowledge can get some results to his queries.

Keywords: Neutrosophic set, Total Neutrosophic relation, Total Neutrosophic functional dependencies (TNfd), Beta neutrosophic key.

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ABOUT THE AUTHORS

Meena Arora
Mrs. Meena Arora is B.Tech, M.Tech holder and is currently Pursuing Ph.D. She is currently working as a Assistant Professor in Computrer Engg. Department at JSS Academy of technical education, MTU University, Noida, U.P, India. She has 14 years of experience in academic field. She has published a book on Database Management Systems and has more than fourteen (14) years of experience. She has been adjudged as the best faculty and was awarded with academic excellence award during her stay in Dronacharya College Of Engineering, Gurgaon. She has participated in International and National Conferences. She also attended the Conference held in IIT, Delhi with BILL GATES regarding launch of Microsoft’s “DreamSparks”. She has published and presented nearly 10 research papers in International journals and Conferences.

U. S. Pandey
Dr U S Pandey, Ph.D (Computer Science) is an Associate Professor in School of Open Learning, University of Delhi, Delhi. He has Twenty years of teaching experience in the field of Computer Science and supervising many research scholars in the field of Mobile Commerce, Artificial Intelligence, Expert System, Data Warehouse, Data Mining, e-learning and e-governance. Dr. Pandey has got published two books and diverse a range of research papers to his credit in the ‘National and International Journals’ of repute. Dr. Pandey has worked as Professor & Director of VIPS affiliated to GGSIP University Delhi.


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