메뉴 건너뛰기




Volumn 51, Issue 1, 2006, Pages 287-313

Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable

Author keywords

Cluster validity; Crisp input; Fuzzy clustering; Fuzzy clusterwise linear regression analysis; Goodness of fit; Heterogeneous data; Symmetrical fuzzy output

Indexed keywords

DATABASE SYSTEMS; FUZZY SETS; LINEAR SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 33750291939     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.06.001     Document Type: Article
Times cited : (29)

References (39)
  • 1
    • 0037375122 scopus 로고    scopus 로고
    • Predicting business ethical tolerance in international markets: a concomitant clusterwise regression analysis
    • Aurifeille J.-M., and Quester P.G. Predicting business ethical tolerance in international markets: a concomitant clusterwise regression analysis. Internat. Business Rev. 12 (2003) 253-272
    • (2003) Internat. Business Rev. , vol.12 , pp. 253-272
    • Aurifeille, J.-M.1    Quester, P.G.2
  • 4
    • 33750345727 scopus 로고    scopus 로고
    • Cohen, E.A., 1980. Inharmonic tone perception, Unpublished Ph.D. Dissertation, Stanford University.
  • 5
    • 33748065155 scopus 로고    scopus 로고
    • Regression analysis with fuzzy informational paradigm: a least-squares approach using membership function information
    • Coppi R., and D'Urso P. Regression analysis with fuzzy informational paradigm: a least-squares approach using membership function information. Internat. J. Pure Appl. Math. 8 3 (2003) 279-306
    • (2003) Internat. J. Pure Appl. Math. , vol.8 , Issue.3 , pp. 279-306
    • Coppi, R.1    D'Urso, P.2
  • 6
    • 33750310787 scopus 로고    scopus 로고
    • Coppi, R., D'Urso, P., Giordani, P., Santoro, A., 2006b. Least squares estimation of a linear regression model with LR fuzzy response, Comput. Stat. Data An., this issue, 10.1016/j.csda.2006.04.036.
  • 7
    • 0037454064 scopus 로고    scopus 로고
    • Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
    • D'Urso P. Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data. Comput. Statist. Data Anal. 42 1-2 (2003) 47-72
    • (2003) Comput. Statist. Data Anal. , vol.42 , Issue.1-2 , pp. 47-72
    • D'Urso, P.1
  • 8
    • 0037119257 scopus 로고    scopus 로고
    • An "orderwise" polynomial regression procedure for fuzzy data
    • D'Urso P., and Gastaldi T. An "orderwise" polynomial regression procedure for fuzzy data. Fuzzy Sets and Systems 130 1 (2002) 1-19
    • (2002) Fuzzy Sets and Systems , vol.130 , Issue.1 , pp. 1-19
    • D'Urso, P.1    Gastaldi, T.2
  • 9
    • 27744444692 scopus 로고    scopus 로고
    • A weighted fuzzy c-means clustering model for fuzzy data
    • D'Urso P., and Giordani P. A weighted fuzzy c-means clustering model for fuzzy data. Comput. Statist. Data Anal. 50 6 (2006) 1496-1523
    • (2006) Comput. Statist. Data Anal. , vol.50 , Issue.6 , pp. 1496-1523
    • D'Urso, P.1    Giordani, P.2
  • 10
    • 33748061677 scopus 로고    scopus 로고
    • D'Urso, P., Santoro, A., 2006. Goodness of fit and variable selection in the fuzzy multiple linear regression. Fuzzy Sets and Systems, in press.
  • 11
    • 0001237218 scopus 로고
    • A maximum likelihood methodology for clusterwise linear regression
    • De Sarbo W.S., and Cron W.L. A maximum likelihood methodology for clusterwise linear regression. J. Classification 5 2 (1988) 249-282
    • (1988) J. Classification , vol.5 , Issue.2 , pp. 249-282
    • De Sarbo, W.S.1    Cron, W.L.2
  • 12
    • 0001104737 scopus 로고
    • A simulated annealing methodology for clusterwise linear regression
    • De Sarbo W.S., Oliver R.L., and Rangaswamy A. A simulated annealing methodology for clusterwise linear regression. Psychometrika 54 4 (1989) 707-736
    • (1989) Psychometrika , vol.54 , Issue.4 , pp. 707-736
    • De Sarbo, W.S.1    Oliver, R.L.2    Rangaswamy, A.3
  • 15
    • 0027647031 scopus 로고
    • Switching regression models and fuzzy clustering
    • Hathaway R.J., and Bezdek J.C. Switching regression models and fuzzy clustering. IEEE Trans. Fuzzy Systems 1 3 (1993) 195-204
    • (1993) IEEE Trans. Fuzzy Systems , vol.1 , Issue.3 , pp. 195-204
    • Hathaway, R.J.1    Bezdek, J.C.2
  • 16
    • 0030216669 scopus 로고    scopus 로고
    • A parametric model for fusing heterogeneous fuzzy data
    • Hathaway R.J., Bezdek J.C., and Pedrycz W. A parametric model for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Systems 4 3 (1996) 1277-1282
    • (1996) IEEE Trans. Fuzzy Systems , vol.4 , Issue.3 , pp. 1277-1282
    • Hathaway, R.J.1    Bezdek, J.C.2    Pedrycz, W.3
  • 17
    • 0034340248 scopus 로고    scopus 로고
    • Identifiability of models for clusterwise linear regression
    • Hennig C. Identifiability of models for clusterwise linear regression. J. Classification 17 (2000) 273-296
    • (2000) J. Classification , vol.17 , pp. 273-296
    • Hennig, C.1
  • 18
    • 0038454627 scopus 로고    scopus 로고
    • Clusters, outliers, and regression: fixed point clusters
    • Hennig C. Clusters, outliers, and regression: fixed point clusters. J. Multivariate Anal. 86 (2003) 183-212
    • (2003) J. Multivariate Anal. , vol.86 , pp. 183-212
    • Hennig, C.1
  • 19
    • 84963154792 scopus 로고    scopus 로고
    • Hosmer, D.W., 1974. Maximum likelihood estimates of parameters of a mixture of two regression lines. Commun. Stat. 3 (10), 995-1005.
  • 20
    • 0036650138 scopus 로고    scopus 로고
    • Development of energy loss formula for distribution systems using FCN algorithm and cluster-wise fuzzy regression
    • Hong Y.-Y., and Chao Z.-T. Development of energy loss formula for distribution systems using FCN algorithm and cluster-wise fuzzy regression. IEEE Trans. Power Delivery 17 3 (2002) 794-799
    • (2002) IEEE Trans. Power Delivery , vol.17 , Issue.3 , pp. 794-799
    • Hong, Y.-Y.1    Chao, Z.-T.2
  • 21
    • 2942683206 scopus 로고    scopus 로고
    • Some properties of a new metric on the space of fuzzy numbers
    • Kim D.S., and Kim Y.K. Some properties of a new metric on the space of fuzzy numbers. Fuzzy Sets and Systems 145 (2004) 395-410
    • (2004) Fuzzy Sets and Systems , vol.145 , pp. 395-410
    • Kim, D.S.1    Kim, Y.K.2
  • 22
    • 0038170180 scopus 로고    scopus 로고
    • Kung, C.C., Lin, J.C., 2003. A novel cluster validity criterion for fuzzy c-regression model clustering algorithm. IEEE International Conference on Fuzzy Systems, pp. 1368-1373.
  • 23
    • 0032686966 scopus 로고    scopus 로고
    • A mathematical programming approach to clusterwise regression model and its extensions
    • Lau K., Leung P., and Tse K. A mathematical programming approach to clusterwise regression model and its extensions. European J. Oper. Res. 111 (1999) 640-652
    • (1999) European J. Oper. Res. , vol.111 , pp. 640-652
    • Lau, K.1    Leung, P.2    Tse, K.3
  • 24
    • 84903477001 scopus 로고
    • A probabilistic and statistical view of fuzzy methods, with discussion
    • Laviolette M., Seaman J.W., Barrett J.D., and Woodall W.H. A probabilistic and statistical view of fuzzy methods, with discussion. Technometrics 37 3 (1995) 249-292
    • (1995) Technometrics , vol.37 , Issue.3 , pp. 249-292
    • Laviolette, M.1    Seaman, J.W.2    Barrett, J.D.3    Woodall, W.H.4
  • 25
    • 10744222140 scopus 로고    scopus 로고
    • ε{lunate}-insensive fuzzy c-regression models: introduction to ε{lunate}-insensive fuzzy modelling
    • Leşki J.M. ε{lunate}-insensive fuzzy c-regression models: introduction to ε{lunate}-insensive fuzzy modelling. IEEE Trans. Systems Man Cybernet.-Part B: Cybernet. 34 1 (2004) 4-15
    • (2004) IEEE Trans. Systems Man Cybernet.-Part B: Cybernet. , vol.34 , Issue.1 , pp. 4-15
    • Leşki, J.M.1
  • 26
    • 0034360621 scopus 로고    scopus 로고
    • On random fuzzy variables of second order and their application to linear statistical inference with fuzzy data
    • Näther W. On random fuzzy variables of second order and their application to linear statistical inference with fuzzy data. Metrika 51 (2000) 201-221
    • (2000) Metrika , vol.51 , pp. 201-221
    • Näther, W.1
  • 27
    • 13644261749 scopus 로고    scopus 로고
    • Clusterwise PLS regression on a stochastic process
    • Preda C., and Saporta G. Clusterwise PLS regression on a stochastic process. Comput. Statist. Data Anal. 49 (2005) 99-108
    • (2005) Comput. Statist. Data Anal. , vol.49 , pp. 99-108
    • Preda, C.1    Saporta, G.2
  • 28
    • 84950321853 scopus 로고
    • Estimating mixtures of normal distributions and switching regressions (with discussion)
    • Quandt R.E., and Ramsey J.B. Estimating mixtures of normal distributions and switching regressions (with discussion). J. Amer. Statist. Assoc. 73 (1978) 730-752
    • (1978) J. Amer. Statist. Assoc. , vol.73 , pp. 730-752
    • Quandt, R.E.1    Ramsey, J.B.2
  • 29
    • 24144475030 scopus 로고    scopus 로고
    • A consistent procedure for determining the number of clusters in regression clustering
    • Shao Q., and Wu Y. A consistent procedure for determining the number of clusters in regression clustering. J. Statist. Plann. Inference 135 (2005) 461-476
    • (2005) J. Statist. Plann. Inference , vol.135 , pp. 461-476
    • Shao, Q.1    Wu, Y.2
  • 30
    • 0000271839 scopus 로고
    • Clusterwise linear regression
    • Spath H. Clusterwise linear regression. Computing 22 4 (1979) 367-373
    • (1979) Computing , vol.22 , Issue.4 , pp. 367-373
    • Spath, H.1
  • 31
    • 0037119853 scopus 로고    scopus 로고
    • Comparison of fuzzy numbers using a fuzzy distance measure
    • Tran L.T., and Duckstein L. Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy Sets and Systems 130 3 (2002) 331-341
    • (2002) Fuzzy Sets and Systems , vol.130 , Issue.3 , pp. 331-341
    • Tran, L.T.1    Duckstein, L.2
  • 32
    • 0037119255 scopus 로고    scopus 로고
    • Multiobjective fuzzy regression with central tendency and possibilistic properties
    • Tran L.T., and Duckstein L. Multiobjective fuzzy regression with central tendency and possibilistic properties. Fuzzy Sets and Systems 130 1 (2002) 21-31
    • (2002) Fuzzy Sets and Systems , vol.130 , Issue.1 , pp. 21-31
    • Tran, L.T.1    Duckstein, L.2
  • 34
    • 34249753047 scopus 로고    scopus 로고
    • Wedel, M., De Sarbo, W.S., 1995. A mixture likelihood approcah for generalized linear models. J. Classif. 12, 21-56.
  • 35
    • 0001500587 scopus 로고
    • A clusterwise regression method for simultaneous fuzzy market structuring and benefit segmentation
    • Wedel M., and Steenkamp J.-B.E.M. A clusterwise regression method for simultaneous fuzzy market structuring and benefit segmentation. J. Marketing Res. 28 (1991) 385-396
    • (1991) J. Marketing Res. , vol.28 , pp. 385-396
    • Wedel, M.1    Steenkamp, J.-B.E.M.2
  • 36
    • 0002906641 scopus 로고    scopus 로고
    • On a class of fuzzy c-numbers clustering procedures for fuzzy data
    • Yang M.S., and Ko C.H. On a class of fuzzy c-numbers clustering procedures for fuzzy data. Fuzzy Sets and Systems 84 (1996) 49-60
    • (1996) Fuzzy Sets and Systems , vol.84 , pp. 49-60
    • Yang, M.S.1    Ko, C.H.2
  • 38
    • 0001258734 scopus 로고    scopus 로고
    • Fuzzy clustering procedures for conical fuzzy vector data
    • Yang M.S., and Liu H.H. Fuzzy clustering procedures for conical fuzzy vector data. Fuzzy Sets and Systems 106 (1999) 189-200
    • (1999) Fuzzy Sets and Systems , vol.106 , pp. 189-200
    • Yang, M.S.1    Liu, H.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.