Application of Dominance-based Rough Set Theory for Knowledge Discovery in Cooperative Learning
2014 17th International Conference on Computer and Information Technology (ICCIT)
Approximation methods, Computers, Set theory, Education, Information technology, Information systems, Psychology
Business | Management Information Systems | Organizational Behavior and Theory
This paper illustrates a rule induction approach to discover decision patterns by using Dominance-based Rough Set Approach (DRSA) to unravel the intrinsic factors for learning successes and failures in a cooperative group-learning environment. It employs an innovative group quiz method in a university Management Information Systems (MIS) course which induces students into a unique learning process. The survey results enumerate the conditioning factors in terms of multiple criteria ranked in ordinal scale or preference-ordered. The DRSA model is uniquely appropriate when data includes multiple criteria whose domains are preference-ordered. The assessment of the learning success shows how a preference-centric group decision model can be integrated with the dominance-based principle of rough set to derive minimal covering “if.., then..” decision rules. The paper demonstrates that it is possible to develop a formal approximate reasoning scheme to develop group dynamics and discover inherent patterns of the heuristics for group decisions.
Raza, Syed A. and Sikder, Iftikhar U., "Application of Dominance-based Rough Set Theory for Knowledge Discovery in Cooperative Learning" (2014). Business Faculty Publications. 274.