Browsing Faculty of Computing, Engineering and Media by Subject "R-Fuzzy Sets"
Now showing items 1-3 of 3
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Quantification of Perception Clusters Using R-Fuzzy Sets and Grey Analysis
(Conference)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
(Conference)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
(Conference)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 ...