An overview of decision making in Rough Non-deterministic Information Analysis

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. This article presents a general overview of Decision Making in RNIA including both theoretical and algorithmic aspects of the theory. We mainly focused on the following aspects of RNIA: (1) a question-answering functionality that enables decision makers to analyze data gathered in NISs, (2) an automatic decision rule generation with stability factor.