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Single-valued neutrosophic context analysis at distinct multi-granulation

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Abstract

In the current era, most of the researchers addressed an issue while dealing with uncertainty and indeterminacy that exists in fuzzy attributes. It becomes more complex when indeterminacy exists independently when compared to acceptation and rejection part. Due to which, some of the researchers tried to develop a three-way fuzzy concept lattice using neutrosophic set for characterization of uncertainty based on its acceptation, rejection, and uncertain parts, independently. In this process, a problem was addressed while processing the neutrosophic context based on user-required subset of attributes. It takes more time to extract interesting pattern from a given neutrosophic context having a large number of attributes. One of the solutions is to decompose the neutrosophic context via a defined multi-granulation for the truth, falsity and indeterminacy, membership values. To accomplish this task, a method is proposed in this paper using the computing paradigm of granular computing and applied lattice theory with an example.

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Acknowledgements

The author sincerely thanks the anonymous reviewers and editors 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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Communicated by Rosana Sueli da Motta Jafelice.

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Singh, P.K. Single-valued neutrosophic context analysis at distinct multi-granulation. Comp. Appl. Math. 38, 80 (2019). https://doi.org/10.1007/s40314-019-0842-4

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