关于三值社会诊断模型的研究-计算机软件与理论专业论文.docxVIP

关于三值社会诊断模型的研究-计算机软件与理论专业论文.docx

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湘潭大学硕士论文 湘潭大学硕士论文 关于三值社会诊断模型的研究 II II Abstract The rapid development of information technology, particularly the Internet, will enable humanity to bid farewell to the agricultural society and industrial society in which the land, energy and materials are the main means of production, and gradually enter the information society in which information is the key factor of production. Facing the economic,political,cultural and other aspects of social changes, researchers of information science and technology should not only care about the implementation and application of the specific technology of micro-level, but also pay attention to the research of the use of information technology to social issues of macro-level. Social diagnosis is based on social issues and the division of members of society according to the testimony of every member. At first, social issues need to be signalized or digitalized, and calculated when computability and low complexity of computation are satidfied.In this paper,the following three aspects are mainly discussed: 1, the development of multi-valued logic and the main research results are introduced,and the background of the diagnosis of social is pointed out. 2, the t diagnosability of the two-valued model of social diagnosis is analysized. Based on the Groups system-level diagnosis algorith,equation diagnosis algorithm and efficient genetic algorithm,three algorithms of the two-valued model are introduced and compared. Also, the inadequacy of the two-valued diagnosis model is pointed out. 3, on the basis of the two-valued model, the paper also discusses the three-valued model of social diagnosis, and demonstrates its diagnosability of (t, x), t/(x), t/{x} and t/x, and achieves the use of the computer to determine whether an arbitrary vertex of n diagnostic system G(V,A) can be diagnosed by t/{x}or not. Meanwhile,through the digitalization of three-valued model, the equation expression is solved. Finally, the model of people - events –

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