Search results for "reference point"
showing 4 items of 14 documents
Comparing reference point based interactive multiobjective optimization methods without a human decision maker
2022
AbstractInteractive multiobjective optimization methods have proven promising in solving optimization problems with conflicting objectives since they iteratively incorporate preference information of a decision maker in the search for the most preferred solution. To find the appropriate interactive method for various needs involves analysis of the strengths and weaknesses. However, extensive analysis with human decision makers may be too costly and for that reason, we propose an artificial decision maker to compare a class of popular interactive multiobjective optimization methods, i.e., reference point based methods. Without involving any human decision makers, the artificial decision make…
Expectations as Reference Points: Field Evidence from Professional Soccer
2015
We show that professional soccer players and their coaches exhibit reference-dependent behavior during matches. Controlling for the state of the match and for unobserved heterogeneity, we show on a minute-by-minute basis that players breach the rules of the game, measured by the referee’s assignment of cards, significantly more often if their teams are behind the expected match outcome, measured by preplay betting odds of large professional bookmakers. We further show that coaches implement significantly more offensive substitutions if their teams are behind expectations. Both types of behaviors impair the expected ultimate match outcome of the team, which shows that our findings do not si…
Towards explainable interactive multiobjective optimization : R-XIMO
2022
AbstractIn interactive multiobjective optimization methods, the preferences of a decision maker are incorporated in a solution process to find solutions of interest for problems with multiple conflicting objectives. Since multiple solutions exist for these problems with various trade-offs, preferences are crucial to identify the best solution(s). However, it is not necessarily clear to the decision maker how the preferences lead to particular solutions and, by introducing explanations to interactive multiobjective optimization methods, we promote a novel paradigm of explainable interactive multiobjective optimization. As a proof of concept, we introduce a new method, R-XIMO, which provides …
Zastosowanie metody BIPOLAR na przykładzie problemu wyboru dostawcy usług logistycznych
2018
Idea metody BIPOLAR polega na tym, że warianty decyzyjne nie są porównywane bezpośrednio ze sobą a z zestawami rozwiązań wskazanych jako referencyjne. Takie porównanie umożliwia sprawdzenie czy istnieją przesłanki do uznania danego wariantu za mający przewagę nad każdym z pozostałych. Zbiór rozwiązań nazywa się zbiorem punktów referencyjnych, który zawiera rozwiązania dobre i złe. Metoda BIPOLAR uwzględnia wszystkie etapy procesu decyzyjnego: wybór kryteriów oraz określenie ich wag, modelowanie preferencji decydentów, wybór właściwego wariantu decyzyjnego na podstawie rankingu.