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

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Abstract

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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Acknowledgements

The author thanks the anonymous reviewers and the editor for their valuable suggestions and comments.

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  1. Amity Institute of Information Technology, Amity University, Sector-125, Noida, Uttar Pradesh, 201313, India

    Prem Kumar Singh

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  1. Prem Kumar Singh
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Singh, P.K. Object and attribute oriented m-polar fuzzy concept lattice using the projection operator. Granul. Comput. 4, 545–558 (2019). https://doi.org/10.1007/s41066-018-0117-2

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