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Concept Learning Using Vague Concept Lattice
Neural Processing Letters, 2017Recently, the theory of Formal Concept Analysis is extensively studied with bipolar fuzzy setting for adequate analysis of vagueness in fuzzy attributes via a defined sharp boundary. However, many real life data sets contain vague attributes (i.e. beautiful, bald, and tadpole) which cannot be defined through a sharp or restricted boundaries. To process
Prem Kumar Singh
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EMBEDDING OF CONCEPT LATTICE INTO ITS MIXED CONCEPT LATTICE
Advances in Mathematics: Scientific Journal, 2020A BSTRACT . Formal Concept Analysis (FCA) is a method of analysis of object-attribute relational data and knowledge representation. In this paper, the foundations of FCA are extended and in particular mixed concept lattices are studied in depth.
H. S. Ramananda, A. J. Harsha
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Neural Processing Letters, 2018
Recently, several properties of complex fuzzy sets are introduced to measure the changes in dynamic or periodic fuzzy attributes using its amplitude and phase terms. In this process, a problem is observed while discovering some of the meaningful information from the given complex data sets for the knowledge processing tasks.
Prem Kumar Singh
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Recently, several properties of complex fuzzy sets are introduced to measure the changes in dynamic or periodic fuzzy attributes using its amplitude and phase terms. In this process, a problem is observed while discovering some of the meaningful information from the given complex data sets for the knowledge processing tasks.
Prem Kumar Singh
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A lattice-free concept lattice update algorithm
International Journal of General Systems, 2015Upon a change of input data, one usually wants an update of output computed from the data rather than recomputing the whole output over again. In Formal Concept Analysis, update of concept lattice of input data when introducing new objects to the data can be done by any of the so-called incremental algorithms for computing concept lattice.
Jan Outrata
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International Journal of Approximate Reasoning, 2021
Aiming at the difficult problems of dealing with mass linguistic information in uncertain environment, this paper mainly focuses on a linguistic reasoning algorithm based on property-oriented linguistic concept lattice by combining concept lattice and ...
Hui Cui +4 more
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Aiming at the difficult problems of dealing with mass linguistic information in uncertain environment, this paper mainly focuses on a linguistic reasoning algorithm based on property-oriented linguistic concept lattice by combining concept lattice and ...
Hui Cui +4 more
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Rule extraction based on linguistic-valued intuitionistic fuzzy layered concept lattice
International Journal of Approximate Reasoning, 2021As one of the research tools for data processing and knowledge discovery, concept lattice can effectively extract information. In daily life, due to the ambiguity and uncertainty of the decision environment, different experts may provide different ...
L. Zou +4 more
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Decision Concept Lattice vs. Decision Trees and Random Forests
International Conference on Formal Concept Analysis, 2021Decision trees and their ensembles are very popular models of supervised machine learning. In this paper we merge the ideas underlying decision trees, their ensembles and FCA by proposing a new supervised machine learning model which can be constructed ...
Egor Dudyrev, S. Kuznetsov
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Describing hierarchy of concept lattice by using matrix
Information Sciences, 2021Concept lattices (also called Galois lattices) are complete ones with the hierarchical order relation of the formal concepts defined by a formal context or Galois connection.
C. Pak, Jin Hong Kim, Myongguk Jong
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Conflict analysis under one-vote veto based on approximate three-way concept lattice
Information Sciences, 2020Conflict analysis, which plays an important role in our society, has attracted more and more attentions. However, the existing conflict analysis models are not effective enough to evaluate the inconsistency degree of cliques that have more than two ...
Huilai Zhi +3 more
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Knowledge reduction methods of covering approximate spaces based on concept lattice
Knowledge-Based Systems, 2020Both rough sets and concept lattices, which are two complementary tools in data analysis, are analyzed based on binary relations. The relations between rough sets and concept lattices are important research topic.
Mingwen Shao +3 more
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