Author/Authors :
Alcalde, C. Department of Applied Mathematics - University of the Basque Country-UPV/EHU, San Sebastian, Spain. , Burusco, A. Departamento de Estadstica - Informatica y Matematicas - Universidad Publica de Navarra, Campus Arrosadia, Pamplona, Spain , Bustince, H. Departamento de Estadstica - Informatica y Matematicas - Universidad Publica de Navarra, Campus Arrosadia, Pamplona, Spain , Sesma-Sara, M. Departamento de Estadstica - Informatica y Matematicas - Universidad Publica de Navarra, Campus Arrosadia, Pamplona, Spain
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.
Keywords :
Trend analysis , L-fuzzy context , absent values , L-fuzzy concept , L-fuzzy context sequence
