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Author Miller, S. ♦ Wagner, C. ♦ Garibaldi, J.M.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Xenon ♦ Data structures ♦ Boolean functions ♦ Conferences ♦ Fuzzy systems ♦ Optimized production technology ♦ Ground penetrating radar ♦ Type-1 Fuzzy Sets ♦ Survey Data ♦ Correlation Coefficients ♦ Interval Agreement Approach ♦ Agreement Modelling ♦ Computing With Words
Abstract In this paper we explore the characteristics of Type-1 Fuzzy Set agreement models based on interval data through contrasting statistical measures of the fuzzy models and the raw data respectively. We create Type-1 Fuzzy Set models using the Interval Agreement Approach, and then extract a preliminary set of attributes that encapsulate aspects of the agreement models. In order to explore what these attributes can tell us, we compare them with a set of traditional statistical measures of consensus which are applied to the raw data. Two interval-valued survey data sets are employed in this study, a synthetic data set consisting of 30 groups of 10 experts rating 25 objects which is used to provide a large example, and a real-world data set consisting of 7 groups of 4-8 cyber-security experts rating 26 security components that was collected during a decision making exercise at GCHQ, Cheltenham, UK. We show that while there are areas in which traditional methods and the attributes extracted from the Type-1 Fuzzy Set agreement models overlap, there are also attributes that do not appear to be replicated, suggesting that these attributes contain additional information about the consensus within the groups. A discussion of the results is provided, along with the conclusions that can be drawn and considerations for future work on this subject.
Description Author affiliation: Horizon Digital Econ. Res. Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK (Miller, S.; Wagner, C.; Garibaldi, J.M.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-07-06
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781479920723
Size (in Bytes) 1.82 MB
Page Count 8
Starting Page 792
Ending Page 799

Source: IEEE Xplore Digital Library