Title of article :
Multidimensional interval type 2 epistemic fuzzy arithmetic
Author/Authors :
Piegat, A. Faculty of Computer Science - West Pomeranian University of Technology, Szczecin, Poland , Landowski, M. Faculty of Computer Science and Telecommunications - Maritime University of Szczecin, Szczecin, Poland
Abstract :
The article presents a new, multidimensional arithmetic of type 2 fuzzy numbers (M-IT2-F arithmetic) in which the result is a multidimensional fuzzy set. This arithmetic increases the accuracy of calculations and the scope of problems solved in relation to the currently used interval type 2 standard fuzzy arithmetic (IT2-SF arithmetic). The proposed M-IT2-F arithmetic has mathematical properties that IT2-SF arithmetic does not have. Thanks to these properties, it provides accurate calculation results that are not over- or under-estimated in terms of uncertainty. The paper contains comparisons of both types of arithmetic in application to two problems. Fuzzy arithmetic is not a finished work and is in a phase of continuous improvement and development. M-IT2-F arithmetic is a higher form of M-IT2 (non-fuzzy) arithmetic.
Keywords :
Fuzzy arithmetic , epistemic fuzzy arithmetic , multidimensional fuzzy arithmetic , fuzzy arithmetic type 2 , arithmetic of interval type 2 fuzzy numbers , granular computing , soft computing , uncertainty analysis , artificial intelligence
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)