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.

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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 10 November 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2500

Authors

Tadeusz Gerstenkorn

University of Trade, ul. Pojezierska 97b, 91-341 Lódz, Poland

By this author

Andreja Tepavčević

Department of Mathematics and Informatics, University of Novi Sad Trg D. Obradovića 4, 21000 Novi Sad, Serbia and Montenegro

Copyright

CC BY-SA 4.0 Deed