Trend analysis in L-fuzzy contexts with absent values
Publish place: Iranian Journal of Fuzzy Systems، Vol: 17، Issue: 3
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 142
This Paper With 16 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJFS-17-3_007
تاریخ نمایه سازی: 30 خرداد 1400
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:
Authors
C. Alcalde
Department of Applied Mathematics. University of the Basque Country-UPV/EHU. Plaza Europa ۱, ۲۰۰۱۸ San Sebastian, Spain.
A. Burusco
Departamento de Estadstica, Informatica y Matematicas, Universidad Publica de Navarra, Campus Arrosadia s/n, P.O. Box ۳۱۰۰۶, Pamplona, Spain
H. Bustince
Departamento de Estadstica, Informatica y Matematicas, Universidad Publica de Navarra, Campus Arrosadia s/n, P.O. Box ۳۱۰۰۶, Pamplona, Spain
M. Sesma-Sara
Departamento de Estadstica, Informatica y Matematicas, Universidad Publica de Navarra, Campus Arrosadia s/n, P.O. Box ۳۱۰۰۶, Pamplona, Spain