Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The Related Matter-Elements in Extension Detecting and Application
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Research and Application of Information Granulation Based on Extension Method
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
The quotient space theory of problem solving
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
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Granular computing is not only a computing model for computer-centered problem solving, but also a thinking way for human-centered problem solving. Some authors have presented the structures of such kind models and investigated various perspectives of granular computing from different application points of views. Theory of quotient space is a new granule computing tool. In order to solve the difficult problem using theory of quotient space, the original universe of discourse space X will be turned into the new granular universe[X]. The process actually implies the idea of extenics. Extension method is mainly used to solve contradictory problems by transformations of matter-elements. So we integrate extension method with theory of quotient space to solve some complicated problems in artificial intelligence system, and set up an extension-based quotient space computing model. It provides a good scheme to find feasible approximate solutions in the problem space and realize relations and transformations between granule and granule in the whole granular worlds. And it also provides a new method for solving difficult problem. So it has great theory significance and practical value.