A survey and perspective connected with rough non-deterministic information analysis
by Hiroshi Sakai; Mao Wu; Naoto Yamaguchi
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 3, No. 2/3, 2014

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.

Online publication date: Sat, 28-Jun-2014

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