26 research outputs found

    Weight versus reference point multiple criteria decision making methods – analogies and differences, Journal of Telecommunications and Information Technology, 2003, nr 3

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    In this work we shall be concerned with interactive multiple criteria decision making methods. We show how on the technical level the class of reference point methods can be reduced to the class of weight methods. Though methods from these two classes represent two different interactive decision making paradigms, the equivalence observed opens a way for a joint implementation of a pair of methods each representing a different class. This would establish a firm ground for systematic comparison of both classes of methods as well as for hybrid schemes mixing decisional tools specific for each class

    Bi-Level Optimization to Enhance Intensity Modulated Radiation Therapy Planning

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    Intensity Modulated Radiation Therapy is an effective cancer treatment. Models based on the Generalized Equivalent Uniform Dose (gEUD) provide radiation plans with excellent planning target volume coverage and low radiation for organs at risk. However, manual adjustment of the parameters involved in gEUD is required to ensure that the plans meet patient-specific physical restrictions. This paper proposes a radiotherapy planning methodology based on bi-level optimization. We evaluated the proposed scheme in a real patient and compared the resulting irradiation plans with those prepared by clinical planners in hospital devices. The results in terms of efficiency and effectiveness are promising

    Rankings revisited

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    We argue that rankings, as they are commonly used, can be, and perhaps are, misleading and potentially harmful.With little extra effort, however, one can gain much more insight into relations among the objects ranked and, in the consequence, gain a better understanding of the ranking. The fundamental notion used to compare and evaluate rankings in our analysis is that of Pareto optymality. General claims are illustrated with the ranking of Polish universities published by Perspektywy monthly in 2016.This note is based on results that are well known in the areas of multiobjective optimization and multiple-criteria decision analysis. The objective of the note is to point to the shortcomings and potential pitfalls behind the common use and understanding of rankings

    Quantitative pareto analysis by cone separation technique

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    Decision Maker's Preference Model Underlying TOPSIS Method

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