Research Of Rough Sets Relationship Graphics Representation

The relationships between two objects which in the nature and the human society could always describe and explain by diagram. It could make the information become intuitive, clear, regular[39]. Since Graphics appears, during 300 years, it successfully combines with many other disciplines. We know that, Graphics uses vertex and edge to express the relationships between two objects; it is a kind of abstraction of practical problems [39]. Though researching, we found Graphics could also combine with Rough Sets. It expresses, in an easy way, the concept and researching method, including equivalence relationships, knowledge system, category, decision table and the derivation of decision rules. Therefore, here we offer a Rough Sets representation method for analyzing, comprehending and expressing.This paper introduces the background and significance of research, then introduces the research status at home and abroad, and crystallizes the main research contents, and builds the construction, and shows the new idea. Through the general train of thought and the key issues to be resolved and the relative theoretical knowledge, we give a few aspects behind:First, the Research of Rough Set Relationship Graphics and Inaccuracy category Rough Set Relationship Graphics. According to problem, bring forward the main discussion: The definition and composing of the Rough Set Relationship Graphics; The Graphics Representation of the Rough Sets; The Rough Sets Relationship Graphics of Inaccuracy numerical characteristic and Sets equivalence in Rough Sets.Next, the Research of Rough Set Relationship Graphics Representation Knowledge Simplified. According to problem, bring forward the main discussion: Knowledge Simplified and core using Rough Sets Relationship Graphics.Last, the Research of Rough Set Relationship Graphics Representation Knowledge Base. According to problem, bring forward the main discussion:the representation of Knowledge Base using Rough Set Relationship Graphics, the representation of decision table, the derivation of decision rules using Rough Set Relationship Graphics, Algorithm Decision-Making Rules based on Rough Set Relationship Graphics, etc.The paper offered a new method of researching Rough Sets. It could be a novel approach of comprehending Rough Sets for us.