By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Researchers detail new data in Information Architecture. According to news reporting originating from Chengdu, People's Republic of China, by VerticalNews correspondents, research stated, "Because precision and grade act as fundamental quantitative information in approximation space, they are used in relative and absolute quantifications, respectively. At present, the double quantification regarding precision and grade is a novel and valuable subject, but quantitative information fusion has become a key problem."
Our news editors obtained a quote from the research from Sichuan Normal University, "Thus, this paper constructs the double-quantitative approximation space of precision and grade (PG-Approx-Space) and tackles the fusion problem using normal logical operations. It further conducts double-quantification studies on granular computing and rough set models. (1) First, for quantitative information organization and storage, we construct space and plane forms of PG-Approx-Space using the Cartesian product, and for quantitative information extraction and fusion, we establish semantics construction and semantics granules of PG-ApproxSpace. (2) Second, by granular computing, we investigate three primary granular issues: quantitative semantics, complete system and optimal calculation. Accordingly, six types of fundamental granules are proposed based on the semantic, microscopic and macroscopic descriptions; their semantics, forms, structures, calculations and relationships are studied, and the granular hierarchical structure is achieved. (3) Finally, we investigate rough set models in PG-Approx-Space. Accordingly, model regions are proposed by developing the classical regions, model expansion is systematically analyzed, some models are constructed as their structures are obtained, and a concrete model is provided."
According to the news editors, the research concluded: "Based on the quantitative information architecture, this paper systematically conducts and investigates double quantification and establishes a fundamental and general exploration framework."
For more information on this research see: Quantitative information architecture, granular computing and rough set models in the double-quantitative approximation space of precision and grade. Information Sciences, 2014;268():147-168. Information Sciences can be contacted at: Elsevier Science Inc, 360 Park Ave South, New York, NY 10010-1710, USA. (Elsevier - www.elsevier.com; Information Sciences - www.elsevier.com/wps/product/cws_home/505730)
The news editors report that additional information may be obtained by contacting X.Y. Zhang, Sichuan Normal Univ, Coll Math & Software Sci, Chengdu 610068, People's Republic of China.
Keywords for this news article include: Asia, Chengdu, Information Technology, Information Architecture, People's Republic of China, Information and Data Architecture
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