메뉴 건너뛰기




Volumn 157, Issue 19, 2006, Pages 2648-2664

Two- and three-way component models for LR fuzzy data in a possibilistic framework

Author keywords

CANDECOMP PARAFAC; Possibilistic approach; Principal component analysis; Tucker3; Two and three way fuzzy data sets

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; PROBLEM SOLVING; REGRESSION ANALYSIS; VARIATIONAL TECHNIQUES;

EID: 33748045159     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2004.12.012     Document Type: Article
Times cited : (3)

References (13)
  • 1
    • 34250499792 scopus 로고
    • Analysis of individual differences in multidimensional scaling via an n-way generalization of 'Eckart-Young' decomposition
    • Carroll J.D., and Chang J.J. Analysis of individual differences in multidimensional scaling via an n-way generalization of 'Eckart-Young' decomposition. Psychometrika 35 (1970) 283-319
    • (1970) Psychometrika , vol.35 , pp. 283-319
    • Carroll, J.D.1    Chang, J.J.2
  • 2
    • 0038006805 scopus 로고    scopus 로고
    • Three-way fuzzy clustering models for LR fuzzy time trajectories
    • Coppi R., and D'Urso P. Three-way fuzzy clustering models for LR fuzzy time trajectories. Comput. Statist. Data Anal. 43 (2003) 149-177
    • (2003) Comput. Statist. Data Anal. , vol.43 , pp. 149-177
    • Coppi, R.1    D'Urso, P.2
  • 3
    • 33748067594 scopus 로고    scopus 로고
    • R. Coppi, P. D'Urso, P. Giordani, Component models for fuzzy data, Psychometrika, accepted for publication.
  • 4
    • 3042555475 scopus 로고    scopus 로고
    • Principal component analysis of fuzzy data using autoassociative neural networks
    • Denœux T., and Masson M. Principal component analysis of fuzzy data using autoassociative neural networks. IEEE Trans. Fuzzy Systems 12 (2004) 336-349
    • (2004) IEEE Trans. Fuzzy Systems , vol.12 , pp. 336-349
    • Denœux, T.1    Masson, M.2
  • 5
    • 11244305512 scopus 로고    scopus 로고
    • A possibilistic approach to latent component analysis for symmetric fuzzy data
    • D'Urso P., and Giordani P. A possibilistic approach to latent component analysis for symmetric fuzzy data. Fuzzy Sets and Systems 150 (2005) 285-305
    • (2005) Fuzzy Sets and Systems , vol.150 , pp. 285-305
    • D'Urso, P.1    Giordani, P.2
  • 6
    • 0002740437 scopus 로고
    • Foundations of the PARAFAC procedure: models and conditions for an 'exploratory' multimode factor analysis
    • Harshman R.A. Foundations of the PARAFAC procedure: models and conditions for an 'exploratory' multimode factor analysis. UCLA Working Papers Phonetics 16 (1970) 1-84
    • (1970) UCLA Working Papers Phonetics , vol.16 , pp. 1-84
    • Harshman, R.A.1
  • 7
    • 0000395532 scopus 로고
    • Conditional possibilities, independence and noninteraction
    • Hisdal E. Conditional possibilities, independence and noninteraction. Fuzzy Sets and Systems 1 (1978) 283-297
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 283-297
    • Hisdal, E.1
  • 8
    • 1842630353 scopus 로고    scopus 로고
    • Principal component analysis of symmetric fuzzy data
    • Giordani P., and Kiers H.A.L. Principal component analysis of symmetric fuzzy data. Computat. Statist. Data Anal. 45 (2004) 519-548
    • (2004) Computat. Statist. Data Anal. , vol.45 , pp. 519-548
    • Giordani, P.1    Kiers, H.A.L.2
  • 9
    • 0033646780 scopus 로고    scopus 로고
    • Towards a standardized notation and terminology in multiway analysis
    • Kiers H.A.L. Towards a standardized notation and terminology in multiway analysis. J. Chem. 14 (2000) 105-122
    • (2000) J. Chem. , vol.14 , pp. 105-122
    • Kiers, H.A.L.1
  • 10
    • 85047681558 scopus 로고    scopus 로고
    • Three-way component analysis: principles and illustrative application
    • Kiers H.A.L., and Van Mechelen I. Three-way component analysis: principles and illustrative application. Psychol. Methods 6 (2001) 84-110
    • (2001) Psychol. Methods , vol.6 , pp. 84-110
    • Kiers, H.A.L.1    Van Mechelen, I.2
  • 12
    • 0013953617 scopus 로고
    • Some mathematical notes on three-mode factor analysis
    • Tucker L.R. Some mathematical notes on three-mode factor analysis. Psychometrika 31 (1966) 279-311
    • (1966) Psychometrika , vol.31 , pp. 279-311
    • Tucker, L.R.1
  • 13
    • 0141689062 scopus 로고    scopus 로고
    • Fuzzy principal component analysis and its application
    • Watada J., and Yabuuchi Y. Fuzzy principal component analysis and its application. Biomed. Fuzzy Hum. Sci. 3 (1997) 83-92
    • (1997) Biomed. Fuzzy Hum. Sci. , vol.3 , pp. 83-92
    • Watada, J.1    Yabuuchi, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.