EPrints@IIT Delhi >
Faculty Research Publicatons  >
Mathematics >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/131

Full metadata record

DC FieldValueLanguage
dc.contributor.authorPanda, S K-
dc.contributor.authorNagabhushanam, A-
dc.identifier.citationComputational Statistics & Data Analysis (19) , 553-562en
dc.description.abstractFuzzy approach has been exploited and successfully tested for data distortion to achieve disclosure control and data security in patient record statistical databases of fifty thousand monthly records in DPS-7/45 (Honeywell Bull) main frame environment. We put forward a strong case to recommend that the new method explained in this technical paper yields better results compared to probability and value distortion in preserving order&moment statistics for small sample cases, discrete cases and highly skewed statistical databases of about six lakh records annually.en
dc.format.extent644683 bytes-
dc.subjectStatistical databasesen
dc.subjectData security&disclosure controlen
dc.subjectPoint distortionen
dc.subjectProbability distortionen
dc.subjectFuzzy numbersen
dc.subjectFuzzy distortionen
dc.titleFuzzy Data Distortionen
Appears in Collections:Mathematics

Files in This Item:

File Description SizeFormat
panfuz95.pdf629.57 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback