Int. J. Autonomous and Adaptive Communications Systems, Vol. 10, No. 1, 2017 67 Copyright © 2017 Inderscience Enterprises Ltd. Privacy preservation in fuzzy association rules using rough set on intuitionistic fuzzy approximation spaces and DSR Mary A. Geetha*, D.P. Acharjya and N.Ch. Sriman Narayana Iyengar School of Computing Science and Engineering, VIT University, Vellore-632014, India Email: geethamary.a@gmail.com Email: dpacharjya@gmail.com Email: nchsniyengar48@gmail.com *Corresponding author Abstract: The present age of internet and the rising of business have resulted into many folds of increase in the volume of data which are to be used for various applications on a day to day basis. Therefore, it is an obvious challenge to reduce the dataset and find useful information pertaining to the interest of the organisation. But another challenge lies in hiding sensitive information in order to provide privacy. Thus, attribute reduction and privacy preservation are two major challenges in privacy preserving data mining. In this paper, we propose a sensitive rule hiding model to hide sensitive fuzzy association rules. Proposed model uses rough set on intuitionistic fuzzy approximation spaces with ordering to reduce the dataset dimensionality. We use triangular and trapezoidal membership function to get the fuzzified information system. Finally, decreasing the support of right hand side of the rule is used to hide sensitive fuzzy association rules. Keywords: almost indiscernibility; intuitionistic fuzzy proximity relation; ordering rules; intuitionistic fuzzy set; (α, β) rough; association rules; DSR; privacy preservation; autonomous system; adaptive system. Reference to this paper should be made as follows: Geetha, M.A., Acharjya, D.P. and Iyengar, N.Ch.S.N. (2017) ‘Privacy preservation in fuzzy association rules using rough set on intuitionistic fuzzy approximation spaces and DSR’, Int. J. Autonomous and Adaptive Communications Systems, Vol. 10, No. 1, pp.67–87. Biographical notes: Mary A. Geetha received her MTech in Computer Science and Engineering from VIT University, Vellore, India in 2008 and BE from University of Madras, Tamil Nadu, India in 2004. She is working for VIT University as Assistant Professor-Senior. She is currently doing her PhD at VIT University. Her field of interest spans and is not limited to computer science and healthcare management. Her research interests include security for data mining, databases and intelligent systems. D.P. Acharjya received his MSc from NIT, Rourkela, India; MTech in Computer Science from Utkal University, India and obtained his PhD from Berhampur University, India. He has been awarded with Gold Medal in MSc. He is presently working as a Professor in the School of Computing Sciences