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Issue:Generalized net model of algorithm for intuitionistic fuzzy estimations

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Title of paper: Generalized net model of algorithm for intuitionistic fuzzy estimations
Author(s):
Peter Georgiev
Centre of Biomedical Engineering Prof. Ivan Daskalov, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
prg@clbme.bas.bg
Lyudmila Todorova
Centre of Biomedical Engineering Prof. Ivan Daskalov, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
lpt@clbme.bas.bg
Peter Vassilev
Centre of Biomedical Engineering Prof. Ivan Daskalov, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Presented at: 11th ICIFS, Sofia, Bulgaria, 28-30 April 2007
Published in: Conference proceedings, "Notes on IFS", Volume 13 (2007) Number 2, pages 61—70
Download:  PDF (4780  Kb, Info)
Abstract: In the present paper a GN model of algorithm for aggregation of estimations, derived by the application of two or more classification procedures solving a particular pattern recognition problem has been developed. The algorithm is one of the two proposed in [2]. A comparative analysis of the results obtained by each of the GN models in the sloution of one and the same classification problem in the field of medicine has been done.


References:
  1. Georgiev, P., L. Todorova, P. Vassilev. Generalized net model of aggregation algorithm for intuitionistic fuzzy estimations of classification. Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Vol. 5, Wydawnictwo WIT (in press).
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