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Granular-based decomposition of complex fuzzy context and its analysis

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Abstract

The mathematical paradigm of complex fuzzy concept lattice gives a platform to analyze the complex fuzzy attributes. The problem is addressed by several reviewers about applications of complex fuzzy concept lattice and its decomposition at user-required information granules. To resolve this problem, one of the methods is introduced using the chosen subset of attributes and properties of granulation defined for amplitude and phase term, independently. One of the real-life applications is also given for analyzing the potential manuscripts for the publications in journal based on changes in reviewer feedback at given phase of time.

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  1. https://www.thehindu.com/sci-tech/science/about-35000-scientific-papers-at-the-risk-of-retraction-for-doctored-images/article24339750.ece.

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Acknowledgements

Author thanks the anonymous reviewers and editor for their valuable time and suggestions to improve the quality of this paper.

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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. Granular-based decomposition of complex fuzzy context and its analysis. Prog Artif Intell 8, 181–193 (2019). https://doi.org/10.1007/s13748-018-00170-y

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