Issue:Intuitionistic fuzzy formulation of risk assessment by mathematical programming-based classification

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http://ifigenia.org/wiki/issue:nifs/1/2/132-136

Title of paper: Intuitionistic fuzzy formulation of risk assessment by mathematical programming-based classification Author(s): Ognian Asparoukhov Center of Biomedical Engineering - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 105, 1113 Sofia, Bulgaria Stefan Dantchev Center of Biomedical Engineering - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., bl. 105, 1113 Sofia, Bulgaria Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 1 (1995) Number 2, pages 132—136 Download:  PDF (2809  Kb, File info) References: Asparoukhov, O. K. (1985). Microprocessor system for investigation of thromboembolic complications. Unpublished Ph.D. dissertation, Technical University, Sofia (in Bulgarian). Atanassov, K. (1995). Ideas for intuitionistic fuzzy equations. Notes on IFS, Vol. 1 (1),17-24 Bajgier, S. and Hill, A. (1982). An experimental comparison of statistical and linear programming approaches to the discriminant problem. Decision Sciences 13, 604-618. Duarte Silva, A. P. and Stam, A. (1994). Second order mathematical programming formulations for discriminant analysis. European Journal of Operational Research 72, 4-22. Freed, N. and Glover, F. (1981). A linear programming approach to the discriminant problem. Decision Sciences 12, 68-74. Hand, D. J. (1981). Discrimination and Classification. New York: Wiley. Huberty, C. J. (1994). Applied Discriminant Analysis. New York: Wiley. Joachimsthaler, E. A. and Stam, A. (1988). For approaches to the classification problem in discriminant analysis: An experimental study. Decision Sciences 19, 322-333. Kissiov, V. and Asparoukhov, O. (1984). A method for construction of linear decision functions in the case of small learning sample. Automation and Computer Science 5, 11-15 (in Bulgarian). Koehler, G. J. and Erenguc, S. S. (1990). Minimizing misclassifications in linear discriminant analysis. Decision Sciences 21, 63-85. McLachlan, G. J. (1992). Discriminant Analysis and Statistical Pattern Recognition. New York: Wiley. Stam, A. and Joachimsthaler, E. A. (1990). A comparison of a robust mixed-integer approach to existing methods for establishing classification rules for the discriminant problem. European Journal of Operational Research 46, 113-122. Stam, A. and Jones, D. G. (1990). Classification performance of mathematical programming techniques in discriminant analysis: Result for small and medium sample size. Managerial and Decision Economics 11, 243-253. Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.