Trend analysis in L-fuzzy contexts with absent values

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Alcalde C.; Burusco A.; Bustince H.; Sesma Sara M.

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Paper Information

Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:3 Page(s): 69-84

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Information Journal Paper

Title

Trend analysis in L-fuzzy contexts with absent values

Author(s)

Alcalde C. | Burusco A. | Bustince H. | Sesma Sara M. | Issue Writer Certificate

Keywords

Trend analysisQ2

L-fuzzy contextQ2

absent valuesQ2

L-fuzzy conceptQ2

L-fuzzy context sequenceQ2

Abstract

Sometimes we have to work with L-fuzzy context sequences where one or more values are missing. These sequences can represent, among other things, the evolution in time of an L-fuzzy context. The studies of tendencies that we have done so far used tools that are not valid when the L-fuzzy context has unknown values. In this work we address such situations and we propose new methods to tackle the problem. Besides, we use the study of tendencies to analyse relations between the objects and the attributes of L-fuzzy contexts and to replace the absent values taking into account the behaviour of the sequence.

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APA: Copy

Alcalde, C., Burusco, A., Bustince, H., & Sesma Sara, M.. (2020). Trend analysis in L-fuzzy contexts with absent values. IRANIAN JOURNAL OF FUZZY SYSTEMS, 17(3 ), 69-84. SID. https://sid.ir/paper/377187/en

Vancouver: Copy

Alcalde C., Burusco A., Bustince H., Sesma Sara M.. Trend analysis in L-fuzzy contexts with absent values. IRANIAN JOURNAL OF FUZZY SYSTEMS[Internet]. 2020;17(3 ):69-84. Available from: https://sid.ir/paper/377187/en

IEEE: Copy

C. Alcalde, A. Burusco, H. Bustince, and M. Sesma Sara, “Trend analysis in L-fuzzy contexts with absent values,” IRANIAN JOURNAL OF FUZZY SYSTEMS, vol. 17, no. 3 , pp. 69–84, 2020, [Online]. Available: https://sid.ir/paper/377187/en

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