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Soft Computing : Findings from Hebei University Broaden Understanding of Soft Computing (Representing attribute reduction and concepts in concept lattice using graphs)

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12/07/2017 | 08:04pm CET

By a News Reporter-Staff News Editor at Computer Weekly News -- Data detailed on Soft Computing have been presented. According to news originating from Baoding, People's Republic of China, by VerticalNews editors, the research stated, "Concept lattice is an area of research which is based on a set-theoretical model for concepts and conceptual hierarchies. It is better for the studying of concept lattice to minimize the input data before revealing the construction of a concept lattice."

Financial supporters for this research include NSF of China, NSF of Hebei Province.

Our news journalists obtained a quote from the research from Hebei University, "Actually, this duty can be done by attribute reduction for a context. Graph is useful in data analysis since it gives us a visual trend on the behavior of our data points and allows us to test some laws in data analysis. This paper is a preliminary attempt to study how directed graph can be used on attribute reduction and conceptual construction in concept lattices. We investigate all the reducible attributes and concepts in a context with the aid of graph theory. For a context, we define a relevant graph on the set of attributes and, further, define a pre-weighted relevant graph. Afterward, using relevant graphs and pre-weighted relevant graphs with the method of deleting vertices in a directed graph, we find all the reducible attributes in a context. After that, we seek out all of concepts and the concept lattice for a given context."

According to the news editors, the research concluded: "All these results may be not only used to improve the visibility and readability of attribute reduction in a context and the construction of concept lattice, but also broaden the applied range of directed graph such as in the field of attribute reduction."

For more information on this research see: Representing attribute reduction and concepts in concept lattice using graphs. Soft Computing, 2017;21(24):7293-7311. Soft Computing can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; Soft Computing - www.springerlink.com/content/1432-7643/)

The news correspondents report that additional information may be obtained from H. Mao, Hebei University, Dept. of Math, Baoding 071002, People's Republic of China.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s00500-016-2441-2. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

Keywords for this news article include: Baoding, People's Republic of China, Asia, Soft Computing, Hebei University.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2017, NewsRx LLC

(c) 2017 NewsRx LLC, source Technology Newsletters

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