The study of the interval-valued contexts

Burusco, Ana; Fuentes-González, Ramón

doi:10.1016/s0165-0114(00)00059-2

Cited by 52 publications

(27 citation statements)

References 9 publications

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“…Thus, we can use the average (with or without weight), obtain the intervals whose lower bound is the minimum of the observations and the upper one the maximum of them, obtaining an interval-valued L-fuzzy context, or working with multivalued contexts. We have developed these ideas in previous works 17,18 .…”

Section: Fuzzy Context Sequencesmentioning

confidence: 99%

The study of fuzzy context sequences

Alcalde¹,

Burusco²,

Fuentes-González³

2013

IJCIS

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In some cases, the relationship between an object set X and an attribute set Y is set up by means of a fuzzy context sequence. A particular case of this situation appears when we want to study the evolution of an L-fuzzy context in time.In this work, we analyze these situations. First we introduce the fuzzy context sequence definition and remind the main results about OWA operators. With the aid of these operators, we propose an exhaustive study of the different contexts values of the sequence using some new relations. In the second part, we also study the fuzzy context sequences establishing tendencies and temporal patterns. Finally, we illustrate all the results by means of examples.

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Section: Fuzzy Context Sequencesmentioning

confidence: 99%

The study of fuzzy context sequences

Alcalde¹,

Burusco²,

Fuentes-González³

2013

IJCIS

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show abstract

“…We are interested in being able to compare the ambiguity and the fuzziness of any pair of intervals and, hence, of an interval-valued L-Fuzzy set in order to work with the interval-valued L-Fuzzy contexts [4,1]. However, that is not possible if we only use the preorder relations, as we remarked before.…”

Section: Ambiguity and Fuzziness Degreementioning

confidence: 99%

Ambiguity and fuzziness measures defined on the set of closed intervals in [0,1]

Alcalde

Burusco

Fuentes-González

2007

Information Sciences

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“…A concept lattice is an effective tool in FCA and is very suitable for mining potential concepts of data sets. In recent years, FCA has been extensively studied [2][3][4][9][10][11]16,19,25] and has become a powerful tool for machine learning, software engineering and information retrieval.…”

Section: Introductionmentioning

confidence: 99%