Now showing items 11-18 of 18
Roughness bounds in rough set operations
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 ...
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 ...
R-fuzzy Sets and Grey System Theory
This paper investigates the use of grey theory to enhance the concept of an R-fuzzy set, with regards to the precision of the encapsulating set of returned significance values. The use of lower and upper approximations ...
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 ...