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Wyświetlanie 1-2 z 2
Tytuł:
Evolutionary Multiobjective Optimization for Intensity Modulated Radiation Therapy
Autorzy:
Kaliszewski, Ignacy
Miroforidis, Janusz
Powiązania:
https://bibliotekanauki.pl/articles/578596.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Choroby
Leczenie
Optymalizacja wielokryterialna
Promieniowanie jonizujące
Wielokryterialne podejmowanie decyzji
Illness
Ionizing radiation
Medical treatment
Multiple criteria optimization
Multiple-criteria decision making
Opis:
As cancer diseases take nowadays a heavy toll on societies worldwide, extensive research is being conducted to provide more accurate diagnoses and more effective treatments. In particular, Multiobjective Optimization has turned out to be an appropriate and efficient framework for timely and accurate radiotherapy planning. In the paper, we sketch briefly the background of Multiobjective Optimization research to Intensity Modulated Radiation Therapy, and next we present a rudimentary formulation of the problem. We also present a generic methodology we developed for Multiple Criteria Decision Making, and we present preliminary results with it when applied to radiation treatment planning.
Źródło:
Multiple Criteria Decision Making; 2015, 10; 82-92
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using a Fuzzy Approach in Multi-Criteria Decision Making with Multiple Alternatives in Health Care
Autorzy:
Jakubczyk, Michał
Powiązania:
https://bibliotekanauki.pl/articles/578606.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Ekonomiczny w Katowicach
Tematy:
Efektywność kosztowa
Finansowanie ochrony zdrowia
Ochrona zdrowia
Technologia medyczna
Zbiory rozmyte
Cost effectiveness
Fuzzy sets
Health care financing
Health care protection
Medical technology
Opis:
One of the responsibilities of the health care sector regulator is to decide which health technologies (drugs, procedures, diagnostic tests, etc.) should be financed using public resources. That requires taking into account multiple criteria, of which two important ones are: cost and effectiveness of a technology (others being, e.g., prevalence, safety, ethical and social implications). Hence, health and wealth need to be traded off against each other, and hence the willingness-to-pay (WTP) has to be determined. Various approaches to setting WTP have been taken, yet the results differ substantially. In the present paper I claim that the proper approach is to treat WTP as a fuzzy concept (the decision maker may not be able to decidedly state that a given health-wealth trade-off coefficient is acceptable/unacceptable - an idea backed up by the survey presented in the paper). Previous research shows how this fuzzy approach can be embedded in defining the preference relation and pairwise comparisons. In the present paper I account for the fact that there are often more than two alternatives available. To avoid difficulties that might arise (e.g., incompleteness or intransitivity of preferences) I show how the fuzzy approach can be used to define a fuzzy choice function based on the axiomatic approach. Some properties are discussed (e.g., how the approach handles the dominance and extended dominance), and the directions of further research are hinted at.
Źródło:
Multiple Criteria Decision Making; 2015, 10; 65-81
2084-1531
Pojawia się w:
Multiple Criteria Decision Making
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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