Concept lattice visualization of data with m -polar fuzzy attribute

摘要

In the current, year's most of the attention has been paid towards analysis of uncertainty and vagueness in fuzzy attributes. In this case, a major problem arises when the uncertainty exists in the attributes beyond the {∈, ∈} boundaries. The most of the time researchers faced problem in precise representation of given multi-polar or multi-decision attributes. To deal with this type of attributes, current paper introduces a method based on the properties of m-polar fuzzy set and its concept lattice diagram. The generation of line diagram is established using the vertices and nodes of a defined m-polar fuzzy graph and its properties. A method is also proposed to generate some of the pattern from the given m-polar fuzzy context at user required subset of attributes. In addition, the analysis derived from the proposed method is compared with Akram and Younas (J Appl Math Comput 53(l-2):365-382, 2017) as well as Mukherjee and Das (in: Proceedings of Third International Conference on Advanced Computing, Networking and Informatics, pp 21-28, 2016) based on various parameters.