Name
Title | ||
|---|---|---|
From classic statistical characterization to fuzzy windowing based characterization for the exploratory analysis of miscellaneous time variables: example in the field of car driving studies |
Abstract | ||
|---|---|---|
The problem of data characterization of quantitative and qualitative measurement scales is stated in the context of an exploratory multivariate statistical analysis. An example from a car driving study is considered where the quantitative data correspond to the car and head movements, while the qualitative data correspond to objects being viewed--road, bridge, sign-post, etc. For each of these two sets, the literature is analyzed first in terms of data characterizing methods and relationship obtaining methods. Then we propose to evaluate and compare nine quantitative data characteriing methods: five corresponding to classic statistical indicators, two to crisp space windowing with either two or three windows, and two on fuzzy windowing with either two or three windows. Logically the last method appears as the best (according to our evaluation procedure). Then we propose a bidimensional fuzzy windowing instead of a crisp one to characterize the gaze positions. Finally the multiple correspondence analysis is used to investigate the membership value averages obtained from the characterization stage. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0165-0114(02)00302-0 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
classic statistical characterization,qualitative data,classic statistical indicator,characterization stage,data characterization,bidimensional fuzzy window,fuzzy window,exploratory multivariate statistical analysis,car driving studies,miscellaneous time variable,fuzzy windowing,multiple correspondence analysis,exploratory analysis,crisp space,quantitative data | Artificial intelligence,Multivariate analysis,Correspondence analysis,Multiple correspondence analysis,Pattern recognition,Head movements,Multivariate statistics,Fuzzy logic,Statistics,Measurement scales,Machine learning,Mathematics,Statistical analysis | Journal |
Volume | Issue | ISSN |
137 | 2 | Fuzzy Sets and Systems |
Citations | PageRank | References |
3 | 0.64 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Loslever | 1 | 22 | 4.78 |
| J. C. Popieul | 2 | 8 | 1.55 |
| P. Simon | 3 | 3 | 0.64 |