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Complex vague contexts analysis using Cartesian product and granulation

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Abstract

The precise measurement of uncertainty and its fluctuation in the vague attributes is considered as one of the most crucial task by the data analytics researchers. To accomplish this tasks, the calculus of complex vague concept lattice is introduced recently for adequate analysis of vagueness and its graphical visualization. In this process, a problem is addressed while dealing with similar vague attributes exists in the given complex fuzzy contexts. To conquer this problem, a method is proposed for acquisition and transformation of complex vague contexts using the properties of Cartesian product and granular computing with an illustrative example.

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Notes

  1. https://en.wikipedia.org/wiki/Air_quality_index.

  2. https://en.wikipedia.org/wiki/Retraction.

  3. https://retractionwatch.com/.

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Acknowledgements

Authors sincerely thank the anonymous reviewers as well as editorial team for their valuable time and comments to improve the quality of this manuscript.

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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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Correspondence to Prem Kumar Singh.

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Singh, P.K. Complex vague contexts analysis using Cartesian product and granulation. Granul. Comput. 5, 37–53 (2020). https://doi.org/10.1007/s41066-018-0136-z

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