Using generalised Łukasiewicz’s t-norm to representand improve fuzzy rough approximations

Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
View: 542

This Paper With 9 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_ACSIJ-3-6_001

تاریخ نمایه سازی: 9 اسفند 1393

Abstract:

Triangular norms are a generalisation of the classicaltwo-valued conjunction. They were originally introducedfor definition of the probabilistic (statistical) metricspaces as a generalisation of the classical triangleinequality for ordinary metric spaces. The nextinvestigations were related with axiomatic of thesenorms. In this paper, a new t-norm is proposed which isgeneralisation of the Łukaszewicz’s norm. Some selectedproperties of this generalised t-norm are first presented.Next , it is shown a possibility of generalisation of thenotions of lower and upper approximations used in fuzzyrough sets and also of obtaining better such approximations

Authors

Iwan Tabakow

Institute of informatics, Wroclaw University of Technology Wroclaw, Poland