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

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{{issue/title
 | title           = Intuitionistic fuzzy formulation of risk assessment by mathematical programming-based classification
 | shortcut        = nifs/1/2/132-136
}}
{{issue/author
 | author          = Ognian Asparoukhov
 | institution     = Center of Biomedical Engineering - Bulgarian Academy of Sciences
 | address         = Acad. G. Bonchev Str., bl. 105, 1113 Sofia, Bulgaria
 | email-before-at = 
 | email-after-at  = 
}}
{{issue/author
 | author          = Stefan Dantchev 
 | institution     = Center of Biomedical Engineering - Bulgarian Academy of Sciences
 | address         = Acad. G. Bonchev Str., bl. 105, 1113 Sofia, Bulgaria
 | email-before-at = 
 | email-after-at  = 
}}
{{issue/data
 | conference      = 
 | issue           = [[Notes on Intuitionistic Fuzzy Sets/01/2|"Notes on IFS", Volume 1 (1995) Number 2]], pages 132—136
 | file            = NIFS-01-2-132-136.pdf
 | format          = PDF
 | size            = 2809
 | abstract        = 
 | keywords        = 
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# Asparoukhov, O. K. (1985). Microprocessor system for investigation of thromboembolic complications. Unpublished Ph.D. dissertation, Technical University, Sofia (in Bulgarian).
# Atanassov, K. (1995). [[Issue:Ideas for intuitionistic fuzzy equations, inequalities and optimization|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.


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