Object and attribute oriented m-polar fuzzy concept lattice using the projection operator

被引:0
作者
Prem Kumar Singh
机构
[1] Amity University,Amity Institute of Information Technology
来源
Granular Computing | 2019年 / 4卷
关键词
Formal concept analysis; Fuzzy concept lattice; -polar fuzzy concepts; -polar fuzzy graph; -polar fuzzy set;
D O I
暂无
中图分类号
学科分类号
摘要
In the current decade, descriptive analysis of uncertainty existing in m-polar fuzzy attributes is addressed as one of the crucial tasks. To deal with these types of attributes mathematical algebra of m-polar fuzzy graph and its concept lattice representation was introduced recently. In this process, a problem is addressed when an expert wants to discover some useful pattern based on maximal acceptance of m-polar fuzzy attributes (or objects) for solving the particular issue of a given problem. To deal with this problem, the current paper focuses on drawing the object and attribute based m-polar fuzzy concept lattice using the projection operator. One of the suitable examples for the proposed method is also given with illustration of object and attribute based concepts. The analyses obtained from both of the proposed methods are compared with recently available approaches on handling the m-polar fuzzy attributes.
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页码:545 / 558
页数:13
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