Affiliations: [a] Mathematical Sciences Section, Department of Basic Sciences, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu 804, Japan | [b] Faculty of Education and Welfare Science, Oita University, Dannoharu, Oita 870, Japan | [c] Faculty of Management and Information Science, Josai International University, Gumyo, Togane, Chiba 283, Japan | [d] Institute of Mathematics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland | [e] Infobright Inc., Poland, Krzywickiego 34 pok. 219, 02-078 Warsaw, Poland | [v] Cairo University, Egypt | [w] Kyushu Institute of Technology, Japan | [x] University of Warsaw & Infobright Inc., Poland | [y] University of Calcutta, India | [z] UESTC, Chengdu, China
Abstract: Rough Non-deterministic Information Analysis (RNIA) is a rough set-based data analysis framework for Non-deterministic Information Systems (NISs). RNIA-related algorithms and software tools developed so far for rule generation provide good characteristics of NISs and can be successfully applied to decision making based on non-deterministic data. In this paper, we extend RNIA by introducing stability factor that enables to evaluate rules in a more flexible way and by developing a question-answering functionality that enables decision makers to analyze data gathered in NISs in case there are no pre-extracted rules that may address specified conditions.
Keywords: Rough non-deterministic information analysis, Incomplete information, Rule generation, Apriori algorithm, Stability factor, Decision making
