Paper Info
Title
Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem
Abstract
In some cases, our uncertainty about a quantity can be described by an interval of its possible values. If we have two or more pieces of interval information about the same quantity, then we can conclude that the actual value belongs to the intersection of these intervals. In general, we may need a fuzzy number to represent our partial knowledge. A fuzzy number can be viewed as a collection of intervals (α-cuts) corresponding to different degrees α ∈[0,1]. In practice, we can only store finitely many α-cuts. Usually, we only store the lower and upper α-cuts (corresponding to α = 0 and α = 1) and use linear interpolation - i.e., use trapezoidal fuzzy numbers. However, the intersection of two trapezoidal fuzzy numbers is, in general, not trapezoidal. One possible approach is to simply take an intersection of lower and alpha α-cuts, but this approach underestimates the resulting membership function. In this paper, we propose a more accurate approach that uses the Least Squares Method to provide a better linear approximation to the resulting membership function. While this method provides a more accurate trapezoidal description of the intersection, it has its own drawbacks: e.g., this approximation method makes the corresponding “knowledge fusion” operation non-associative. We prove, however, that this “drawback” is inevitable: specifically, we prove that a perfect solution is not possible, and that any improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers leads to non-associativity.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584150
FUZZ-IEEE
Keywords
Field
DocType
fuzzy set theory,approximation theory,nonassociativity theorem,membership function,least squares approximations,least squares method,knowledge fusion operation,improved trapezoidal approximation,trapezoidal fuzzy numbers,linear approximation,fuzzy number,least squares approximation,uncertainty,linear interpolation,least square method
Linear approximation,Discrete mathematics,Trapezoidal rule,Approximation theory,Fuzzy set,Trapezoidal rule (differential equations),Linear interpolation,Fuzzy number,Membership function,Mathematics
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4244-6919-2
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Gang Xiang17711.18
Vladik Kreinovich21091281.07