Now showing items 1-10 of 11
Some extended operations of grey sets.
Interval-valued fuzzy decision trees.
Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter
This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, ...
Grey sets and greyness.
Uncertainty Representation of Grey Numbers and Grey Sets
In the literature there is a presumption that a grey set and an interval-valued fuzzy set are equivalent. This presumption ignores the existence of discrete components in a grey number. In this paper new measurements ...
Quantification of R-fuzzy sets
The main aim of this paper is to connect R-fuzzy sets and type-2 fuzzy sets, so as to provide a practical means to express complex uncertainty without the associated difficulty of a type-2 fuzzy set. The paper puts forward ...
A commentary on some of the intrinsic differences between grey systems and fuzzy systems
The aim of this paper is to distinguish between some of the more intrinsic differences that exist between grey system theory (GST) and fuzzy system theory (FST). There are several aspects of both paradigms that are closely ...
A Significance Measure for R-Fuzzy Sets
This paper presents a newly created significance measure based on a variation of Bayes' theorem, one which quantifies the significance of any value contained within an R-fuzzy set. An R-fuzzy set is a relatively new concept ...
Quantification of Perception Clusters Using R-Fuzzy Sets and Grey Analysis
This paper investigates the use of the R-fuzzy significance measure hybrid approach introduced by the authors in a previous work; used in conjunction with grey analysis to allow for further inferencing, providing a higher ...