L-fuzzy concept analysis for three-way decisions: basic definitions and fuzzy inference mechanisms

[1]  Prem Kumar Singh,et al.  Bipolar fuzzy concept learning using next neighbor and Euclidean distance , 2019, Soft Comput..

[2]  Prem Kumar Singh Interval-Valued Neutrosophic Graph Representation of Concept Lattice and Its ($$\alpha ,\beta ,\gamma $$α,β,γ)-Decomposition , 2018 .

[3]  Wei-Zhi Wu,et al.  Three-way concept learning based on cognitive operators: An information fusion viewpoint , 2017, Int. J. Approx. Reason..

[4]  Yuhua Qian,et al.  Three-way cognitive concept learning via multi-granularity , 2017, Inf. Sci..

[5]  Yiyu Yao,et al.  Interval sets and three-way concept analysis in incomplete contexts , 2016, International Journal of Machine Learning and Cybernetics.

[6]  Cherukuri Aswani Kumar,et al.  Three-way conceptual approach for cognitive memory functionalities , 2017, Int. J. Mach. Learn. Cybern..

[7]  Ling Wei,et al.  Constructing three-way concept lattices based on apposition and subposition of formal contexts , 2017, Knowl. Based Syst..

[8]  Prem Kumar Singh,et al.  Three-way fuzzy concept lattice representation using neutrosophic set , 2017, Int. J. Mach. Learn. Cybern..

[9]  Xizhao Wang,et al.  Comparison of reduction in formal decision contexts , 2017, Int. J. Approx. Reason..

[10]  Decui Liang,et al.  Three-way group decisions with decision-theoretic rough sets , 2016, Inf. Sci..

[11]  Bao Qing Hu,et al.  Three-way decision spaces based on partially ordered sets and three-way decisions based on hesitant fuzzy sets , 2016, Knowl. Based Syst..

[12]  Guoyin Wang,et al.  Approximate concept construction with three-way decisions and attribute reduction in incomplete contexts , 2016, Knowl. Based Syst..

[13]  Ling Wei,et al.  The connections between three-way and classical concept lattices , 2016, Knowl. Based Syst..

[14]  Decui Liang,et al.  A novel three-way decision model based on incomplete information system , 2016, Knowl. Based Syst..

[15]  Yuhua Qian,et al.  Concept learning via granular computing: A cognitive viewpoint , 2014, Information Sciences.

[16]  Georg Struth,et al.  Residuated Lattices , 1938, Arch. Formal Proofs.

[17]  Cherukuri Aswani Kumar,et al.  Bipolar fuzzy graph representation of concept lattice , 2014, Inf. Sci..

[18]  Didier Dubois,et al.  Borderline vs. unknown: comparing three-valued representations of imperfect information , 2014, Int. J. Approx. Reason..

[19]  Yiyu Yao,et al.  Three-Way Formal Concept Analysis , 2014, RSKT.

[20]  Yiyu Yao,et al.  Decision-theoretic three-way approximations of fuzzy sets , 2014, Inf. Sci..

[21]  Decui Liang,et al.  Systematic studies on three-way decisions with interval-valued decision-theoretic rough sets , 2014, Inf. Sci..

[22]  Yiyu Yao,et al.  Duality in Rough Set Theory Based on the Square of Opposition , 2013, Fundam. Informaticae.

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

[24]  Yiyu Yao,et al.  An Outline of a Theory of Three-Way Decisions , 2012, RSCTC.

[25]  Didier Dubois,et al.  Possibility theory and formal concept analysis: Characterizing independent sub-contexts , 2012, Fuzzy Sets Syst..

[26]  Jingtao Yao,et al.  Modelling Multi-agent Three-way Decisions with Decision-theoretic Rough Sets , 2012, Fundam. Informaticae.

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

[28]  Yiyu Yao,et al.  The superiority of three-way decisions in probabilistic rough set models , 2011, Inf. Sci..

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

[30]  Yiyu Yao,et al.  Three-way decisions with probabilistic rough sets , 2010, Inf. Sci..

[31]  Ming-Wen Shao,et al.  Set approximations in fuzzy formal concept analysis , 2007, Fuzzy Sets Syst..

[32]  Wei Xu,et al.  Fuzzy inference based on fuzzy concept lattice , 2006, Fuzzy Sets Syst..

[33]  Radim Belohlávek,et al.  Concept lattices and order in fuzzy logic , 2004, Ann. Pure Appl. Log..

[34]  Andrei Popescu,et al.  Non-dual fuzzy connections , 2004, Arch. Math. Log..

[35]  C.J.H. Mann,et al.  Fuzzy Relational Systems: Foundations and Principles , 2003 .

[36]  Radim Belohlávek,et al.  Similarity relations in concept lattices , 2000, J. Log. Comput..

[37]  Nicolas Pasquier,et al.  Efficient Mining of Association Rules Using Closed Itemset Lattices , 1999, Inf. Syst..

[38]  Radim Belohlávek,et al.  Fuzzy Galois Connections , 1999, Math. Log. Q..

[39]  Bernhard Ganter,et al.  Formal Concept Analysis: Mathematical Foundations , 1998 .

[40]  Witold Pedrycz,et al.  Shadowed sets: representing and processing fuzzy sets , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[41]  Yiyu Yao,et al.  Comparison of Rough-Set and Interval-Set Models for Uncertain Reasoning , 1996, Fundam. Informaticae.

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

[43]  Yiyu Yao,et al.  Interval-set algebra for qualitative knowledge representation , 1993, Proceedings of ICCI'93: 5th International Conference on Computing and Information.

[44]  J. Goguen L-fuzzy sets , 1967 .