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06.10.2018 | Original Paper

Complex vague contexts analysis using Cartesian product and granulation

verfasst von: Prem Kumar Singh

Erschienen in: Granular Computing | Ausgabe 1/2020

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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.

Vorheriger Artikel The paradigm of induced ordered weighted averaging aggregation process with application in uncertain linguistic evaluation

Nächster Artikel Robust functional observer for stabilising uncertain fuzzy systems with time-delay

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Titel: Complex vague contexts analysis using Cartesian product and granulation
verfasst von: Prem Kumar Singh
Publikationsdatum: 06.10.2018
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 1/2020
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-018-0136-z

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