Paper Info

Title | ||
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Randomized Fuzzy Formal Contexts and Relevance of One-Sided Concepts |

Abstract | ||
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We define the randomized fuzzy formal context using the random variables with a normal distribution and explore the one-sided formal concept stability. Since the modified Rice-Siff algorithm aims at reducing the concept lattice and represents a crisp index in selecting the relevant clusters from the set of all one-sided formal concepts, we describe the probabilistic method and algorithm how to rank these clusters. Therefore, the proposed Gaussian probabilistic index in combination with the modified Rice-Siff algorithm gives the answer how to select top-k relevant one-sided formal concepts. |

Year | DOI | Venue |
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2015 | 10.1007/978-3-319-19545-2_12 | Lecture Notes in Artificial Intelligence |

Keywords | Field | DocType |

One-sided formal concept,Randomized context,Gauss normal distribution,Stability | Discrete mathematics,Normal distribution,Random variable,Lattice (order),Computer science,Fuzzy logic,Theoretical computer science,Probabilistic method,Gaussian,Probabilistic logic,Formal concept analysis | Conference |

Volume | ISSN | Citations |

9113 | 0302-9743 | 2 |

PageRank | References | Authors |

0.38 | 30 | 3 |

Authors (3 rows)

Cited by (2 rows)

References (30 rows)

Name | Order | Citations | PageRank |
---|---|---|---|

Lubomír Antoni | 1 | 56 | 5.72 |

Stanislav Krajci | 2 | 234 | 20.94 |

Ondrej Kridlo | 3 | 98 | 10.98 |