A new argumentative based reasoning framework with rough set for decision making

Reasoning is commonly understood as a means to increase knowledge and take better decision. That is why the role of arguments has a positive impact in decisions making, as well as in crucial issues discussion. Particularly in selecting one or several alternatives, or to justify an already taken decision. However, much indication illustrates that reasoning often points to epistemic biasness and underprivileged decisions because of uncertain and lack of argumentative context. This paper proposes an argumentative based reasoning framework with rough set theory. The proposed framework is capable of decision making on uncertain data using arguments supporting contrary conclusions. Data of heterogeneous foundations from which the useful information (for arguments construction) was acquired, also changeable ideas of trust on them. As a changed behavior from previous frameworks, the proposed framework accounts for uncertain data because of using rough set theory that is a reliable mathematical approach towards the uncertainty.