JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2021, Vol. 56 ›› Issue (1): 75-82.doi: 10.6040/j.issn.1671-9352.4.2020.149

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Granule description using possible attribute analysis

TANG Jie1,2, WEI Ling1,2*, REN Rui-si1,2, ZHAO Si-yu1,2,3   

  1. 1. School of Mathematics, Northwest University, Xian 710127, Shaanxi, China;
    2. Institute of Concepts, Cognition and Intelligence, Northwest University, Xian 710127, Shaanxi, China;
    3. College of Mathematics and Information Science, Xianyang Normal University, Xianyang 712000, Shaanxi, China
  • Published:2021-01-05

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Abstract: Granular computing is a method and effective tool of solving complicated problems by using information granularity. During the process of granularity, it is often accompanied with granule description, and granule description becomes a fundamental problem in granular computing. Inspired by necessary attribute analysis, this paper proposes granule description using possible attribute analysis. First, taking the extents of property oriented concepts as definable granules in the formal context, and defining the description of definable granule. Then, using the stability of concepts to define minimal generator of concept so that definable granules description becomes concise. Finally, the advantage of granule description using possible attribute analysis is discussed by an example of task assignment.

Key words: granular computing, granule description, formal concept analysis, stability, possible attribute

CLC Number: 

  • O29
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