Under Indistinguishable Nature Of The Relationship Of Knowledge And Information Shows

The rapid development of computer and network information technology, make people obtain in various areas of information and data is growing rapidly, and the information and data processing in humans more, makes the uncertainty in the process of the data processing is more remarkable, information and data into a complex huge systems. The rapid expansion of data and information the choice of human beings, to bring more, at the same time, it also brings some problems, namely how to from so many, to obtain useful information for people be in effective mass data. The rough set method is a mechanism of large amounts of data information about reality based on observations and measurements, the data classification ability foundation, find some characteristics of knowledge, reasoning, and resolution system a process, object and so on. Rough set theory can effectively deal with the complex system of information and data, and has become a new tool for data processing. Based on the rough set knowledge of nature to do some research, theory axiom the condition of the rough set are given equivalence relation, and the related nature of this relationship, the last chapter The knowledge representation of information, research of roughness of knowledge with respect to the information entropy and information representation of similarities and differences. The full text is divided into four chapters.The first chapter, briefly introduced the concept of rough sets related, such as knowledge and knowledge base, upper and lower approximation of the concept, and it is proved that the upper approximation and lower approximate relationships between.The second chapter introduces the knowledge reduction and nuclear definition, as well as the indiscernibility equivalence relation and dependence are depicted.The third chapter research domain is axiomatic infinite rough set theory. Will give infinite domain axioms of rough set theory of equivalent conditions, promote the relevant results. At the same time will also give the results of simple applications in topological spaces and modal logic.The fourth chapter discusses the information content and information entropy in knowledge representation of the rough relational, followed by the research on knowledge representation of information, promotion of the nature of the amount of information and information entropy in information representation, and discusses the relationship between the amount of information and information entropy.