Abstract
The theory of Formal Concept Analysis (FCA) was introduced by Wille [1] for representation tasks and knowledge discovery. FCA analyze data comprising of objects, attributes and a relation between them. Then investigate formal concepts and connect them with a line diagram called concept lattice which plays a vital role in representation tasks. FCA has been used in many projects till now. Burusco and Gonzalez [2] applied fuzzy set theory to handle uncertainty and vagueness in linguistic variables.
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Akram, M. (2019). m–Polar Fuzzy Concept Lattice. In: m−Polar Fuzzy Graphs. Studies in Fuzziness and Soft Computing, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-03751-2_6
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DOI: https://doi.org/10.1007/978-3-030-03751-2_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03750-5
Online ISBN: 978-3-030-03751-2
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