Title: A survey and perspective connected with rough non-deterministic information analysis

Authors: Hiroshi Sakai; Mao Wu; Naoto Yamaguchi

Addresses: Department of Basic Sciences, Faculty of Engineering, Kyushu Institute of Technology, Sensui 1-1, Tobata, Kitakyushu 804, Japan ' Department of Integrated System Engineering, School of Engineering, Kyushu Institute of Technology, Sensui 1-1, Tobata, Kitakyushu 804, Japan ' Department of Integrated System Engineering, School of Engineering, Kyushu Institute of Technology, Sensui 1-1, Tobata, Kitakyushu 804, Japan

Abstract: Rough non-deterministic information analysis (RNIA) is a rough sets-based framework for handling tables with exact and inexact data. Under this framework, we investigated possible equivalence relations, data dependencies, rule generation, rule stability, question-answering systems, as well as missing and interval values as special cases of non-deterministic values. In this paper, we briefly survey RNIA, and report the state of its underlying software implementation. Furthermore, we consider perspective on new two issues, i.e., the estimation and privacy-preserving, connected with RNIA.

Keywords: non-deterministic information; incomplete information; data mining; estimation; constraint satisfaction; rough sets; privacy preservation; privacy protection; security; tables; equivalence relations; data dependencies; rule generation; rule stability; question answering systems; missing values; interval values.

DOI: 10.1504/IJCISTUDIES.2014.062727

International Journal of Computational Intelligence Studies, 2014 Vol.3 No.2/3, pp.134 - 156

Received: 12 Jan 2013
Accepted: 13 May 2013
Published online: 28 Jun 2014 *

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