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L-Fuzzy Set Model of the Optimal Therapy When Diagnosis is Known
p. 146-155
Abstract
In this paper we try to resolve the problem of decision of the optimal therapy when the diagnosis is known. In papers [2], [3], [4], [9],[10], [11] the mentioned problem was treated by methods of fuzzy sets theory. Fuzzy sets were considered there as mappings from a set to [0,1] real interval. Here this problem has been considered using fuzzy sets from a more general point of view, as mappings whose co-domain is a special lattice valued monoid. The model developed in this paper is an improvement of the one given in [5]. In the same time it is an anticipatory model since it predicts efficiency of all possible drugs to the disease in question and it suggests the optimal therapy for every patient.
Index
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References
Bibliographical reference
Tadeusz Gerstenkorn and Andreja Tepavčević, « L-Fuzzy Set Model of the Optimal Therapy When Diagnosis is Known », CASYS, 14 | 2004, 146-155.
Electronic reference
Tadeusz Gerstenkorn and Andreja Tepavčević, « L-Fuzzy Set Model of the Optimal Therapy When Diagnosis is Known », CASYS [Online], 14 | 2004, Online since 23 August 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=2500
Authors
Tadeusz Gerstenkorn
University of Trade, ul. Pojezierska 97b, 91-341 Lódz, Poland
Andreja Tepavčević
Department of Mathematics and Informatics, University of Novi Sad Trg D. Obradovića 4, 21000 Novi Sad, Serbia and Montenegro