Title :
Modeling of fuzziness in multivariate data analysis
Author :
Nakamori, Y. ; Ryoke, M.
Author_Institution :
Graduate Sch. of Knowledge Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
Abstract :
Proposes a technique to map data fluctuations into the parameter space of multivariate models, after an average model using the average data is constructed. This mapping preserves the relative positions of individuals in data as well as the average in data. The idea is applied to factor analysis and a quantifying method
Keywords :
fuzzy set theory; matrix algebra; statistical analysis; data fluctuations; factor analysis; fuzziness; multivariate data analysis; multivariate models; parameter space; quantifying method; Data analysis; Data structures; Decision making; Fluctuations; Fuzzy logic; Information analysis; Set theory; Space technology; Statistical analysis; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.815565
