Showing papers by "Zdzisław Pawlak published in 2007"
TL;DR: Some extensions of the rough set approach are presented and a challenge for the roughSet based research is outlined and it is outlined that the current rough set based research paradigms are unsustainable.
1,161 citations
TL;DR: Methods based on the combination of rough sets and Boolean reasoning with applications in pattern recognition, machine learning, data mining and conflict analysis are discussed.
940 citations
01 Jan 2007
TL;DR: The contribution of this article is an extension of the existing approach based on rough sets to conflict analysis to help deal with imperfect knowledge in e-service intelligence.
Abstract: Summary. E-service intelligence requires tools for approximate reasoning about vague concepts. The rough set based methods make it possible to deal with imperfect knowledge. In particular, approximate reasoning about vague concepts can be based on the rough set approach. This approach seems to be of fundamental importance to AI and cognitive sciences, especially in the areas of machine learning and pattern recognition, knowledge acquisition, decision analysis, data mining and knowledge discovery from databases, expert systems, and conflict analysis. We discuss the basic concepts of rough sets and we outline some current research directions on rough sets. Conflict analysis is one of the basic issues in e-service intelligence. The contribution of this article is an extension of the existing approach based on rough sets to conflict analysis.
21 citations