Litcius/Paper detail

A decomposition approach to type 2 interval arithmetic

Andrzej Piegat, L. Dobryakova

2020International Journal of Applied Mathematics and Computer Science13 citationsDOIOpen Access PDF

Abstract

The classic interval has precise borders A=[a_,a¯]A = \left[ {\underline{a},\bar a} \right]. Therefore, it can be called a type 1 interval. Because of great practical importance of such interval data, several versions of type 1 interval arithmetic have been created. However, sometimes precise borders a_\underline{a} and ā of intervals cannot be determined in practice. If the borders are uncertain, then we have to do with type 2 intervals. A type 2 interval can be denoted as AT2=[[a_L,a_R],[a¯L,a¯R]]{A_{T2}} = \left[ {\left[ {{\underline{a}_L},{\underline{a}_R}} \right],\left[ {{{\bar a}_L},{{\bar a}_R}} \right]} \right]. The paper presents multidimensional decomposition RDM type 2 interval arithmetic (D-RDM-T2-I arithmetic), where RDM means relative-distance measure. The decomposition approach considerably simplifies calculations and is transparent for users. Apart from this arithmetic, examples of its applications are also presented. To the authors’ best knowledge, no papers on this arithmetic exist. D-RDM-T2-I arithmetic is necessary to create type 2 fuzzy arithmetic based on horizontal μ-cuts, which the authors aim to do.

Topics & Concepts

RDMArithmeticInterval (graph theory)Interval arithmeticMathematicsType (biology)DecompositionAffine arithmeticSaturation arithmeticDiscrete mathematicsAlgebra over a fieldArbitrary-precision arithmeticComputer sciencePure mathematicsCombinatoricsMathematical analysisComputer networkAffine transformationBiologyEcologyBounded functionFuzzy Systems and OptimizationFuzzy Logic and Control SystemsMulti-Criteria Decision Making