A Note on Constructing Fuzzy Homomorphism Map for a Given Fuzzy Formal Context

Formal Concept Analysis is a well established mathematical model for data analysis and processing tasks. Computing all the fuzzy formal concepts and their visualization is an important concern for its practical applications. In this process a major problem is how to control the size of concept lattice. For this purpose current study focus on constructing a fuzzy homomorphism map h:F = \( (O_{i} ,P_{j} ,\tilde{R}) \to {\mathbf{D}} = (X_{m} ,Y_{n} ,\tilde{\varphi }) \) for the given fuzzy formal context F where, m ≤ i and n ≤ j. We show that reduced fuzzy concept lattice preserves the generalization and specialization with an illustrative example.

[1]  Qinghua Hu,et al.  Data compression with homomorphism in covering information systems , 2011, Int. J. Approx. Reason..

[2]  Isabelle Bloch,et al.  Fuzzy morphisms between graphs , 2002, Fuzzy Sets Syst..

[3]  Cherukuri Aswani Kumar,et al.  Designing role-based access control using formal concept analysis , 2013, Secur. Commun. Networks.

[4]  Ming-Wen Shao,et al.  Rule acquisition and complexity reduction in formal decision contexts , 2014, Int. J. Approx. Reason..

[5]  Ramón Fuentes-González,et al.  The study of the L-fuzzy concept lattice , 1994 .

[6]  Michal Krupka,et al.  Concept Lattices of Incomplete Data , 2012, ICFCA.

[7]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[8]  Ch. Aswani Kumar,et al.  A Method for Reduction of Fuzzy Relation in Fuzzy Formal Context , 2012 .

[9]  Partha Ghosh,et al.  Fuzzy graph representation of a fuzzy concept lattice , 2010, Fuzzy Sets Syst..

[10]  Jinhai Li,et al.  Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction , 2013, Int. J. Approx. Reason..

[11]  Vilém Vychodil,et al.  Reducing the Size of Fuzzy Concept Lattices by Hedges , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..

[12]  Cherukuri Aswani Kumar,et al.  Knowledge discovery in data using formal concept analysis and random projections , 2011, Int. J. Appl. Math. Comput. Sci..

[13]  Jonas Poelmans,et al.  Formal concept analysis in knowledge processing: A survey on applications , 2013, Expert Syst. Appl..

[14]  Rudolf Wille,et al.  Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts , 2009, ICFCA.

[15]  Lifeng Li,et al.  Attribute reduction in fuzzy concept lattices based on the T implication , 2010, Knowl. Based Syst..

[16]  Cherukuri Aswani Kumar,et al.  FUZZY CLUSTERING-BASED FORMAL CONCEPT ANALYSIS FOR ASSOCIATION RULES MINING , 2012, Appl. Artif. Intell..

[17]  Erkko Lehtonen,et al.  On the Homomorphism Order of Labeled Posets , 2009, Order.

[18]  Alain Gély Links between Modular Decomposition of Concept Lattice and Bimodular Decomposition of a Context , 2011, CLA.

[19]  Cherukuri Aswani Kumar,et al.  Interval-valued fuzzy graph representation of concept lattice , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[20]  Cherukuri Aswani Kumar,et al.  A Note on Computing the Crisp Order Context of a Fuzzy Formal Context for Knowledge Reduction , 2015, J. Inf. Process. Syst..

[21]  Degang Chen,et al.  Homomorphisms between fuzzy information systems , 2009, Appl. Math. Lett..

[22]  Ming-Wen Shao,et al.  Attribute characters of formal contexts under homomorphisms , 2008, 2008 IEEE International Conference on Granular Computing.

[23]  Manuel Ojeda-Aciego,et al.  On multi-adjoint concept lattices based on heterogeneous conjunctors , 2012, Fuzzy Sets Syst..

[24]  Radim Belohlávek,et al.  Ordinally equivalent data: A measurement-theoretic look at formal concept analysis of fuzzy attributes , 2013, Int. J. Approx. Reason..

[25]  Ch. Aswanikumar,et al.  Concept lattice reduction using fuzzy K-Means clustering , 2010, Expert Syst. Appl..

[26]  Radim Belohlávek,et al.  Closure Spaces of Isotone Galois Connections and Their Morphisms , 2011, Australasian Conference on Artificial Intelligence.

[27]  Jozef Pócs,et al.  Note on generating fuzzy concept lattices via Galois connections , 2012, Inf. Sci..