Search results for "criteri"
showing 10 items of 807 documents
DESMILS : a decision support approach for multi-item lot sizing using interactive multiobjective optimization
2023
AbstractWe propose a decision support approach, called DESMILS, to solve multi-item lot sizing problems with a large number of items by using single-item multiobjective lot sizing models. This approach for making lot sizing decisions considers multiple conflicting objective functions and incorporates a decision maker’s preferences to find the most preferred Pareto optimal solutions. DESMILS applies clustering, and items in one cluster are treated utilizing preferences that the decision maker has provided for a representative item of the cluster. Thus, the decision maker provides preferences to solve the single-item lot sizing problem for few items only and not for every item. The lot sizes …
Interactive data-driven multiobjective optimization of metallurgical properties of microalloyed steels using the DESDEO framework
2023
Solving real-life data-driven multiobjective optimization problems involves many complicated challenges. These challenges include preprocessing the data, modelling the objective functions, getting a meaningful formulation of the problem, and supporting decision makers to find preferred solutions in the existence of conflicting objective functions. In this paper, we tackle the problem of optimizing the composition of microalloyed steels to get good mechanical properties such as yield strength, percentage elongation, and Charpy energy. We formulate a problem with six objective functions based on data available and support two decision makers in finding a solution that satisfies them both. To …
Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods
2022
Interactive methods support decision makers in finding the most preferred solution in multiobjective optimization problems. They iteratively incorporate the decision maker's preference information to find the best balance among conflicting objectives. Several interactive methods have been developed in the literature. However, choosing the most suitable interactive method for a given problem can prove challenging and appropriate indicators are needed to compare interactive methods. Some indicators exist for a priori methods, where preferences are provided at the beginning of the solution process. We present some numerical experiments that illustrate why these indicators are not suitable for …
Ecologists overestimate the importance of predictor variables in model averaging: a plea for cautious interpretations.
2014
Abstract: Information-theory procedures are powerful tools for multimodel inference and are now standard methods in ecology. When performing model averaging on a given set of models, the importance of a predictor variable is commonly estimated by summing the weights of models where the variable appears, the so-called sum of weights (SW). However, SWs have received little methodological attention and are frequently misinterpreted. We assessed the reliability of SW by performing model selection and averaging on simulated data sets including variables strongly and weakly correlated to the response variable and a variable unrelated to the response. Our aim was to investigate how useful SWs are …
Model selection procedure for mixture hidden Markov models
2021
This paper proposes a model selection procedure to identify the number of clusters and hidden states in discrete Mixture Hidden Markov models (MHMMs). The model selection is based on a step-wise approach that uses, as score, information criteria and an entropy criterion. By means of a simulation study, we show that our procedure performs better than classical model selection methods in identifying the correct number of clusters and hidden states or an approximation of them
Wartość informacji w systemie informacyjnym w ocenie jej jakości
2018
Celem artykułu jest ustalenie, w jakim zakresie i w jaki sposób należy dokonywać ewaluacji wartości informacji dostępnej w systemie informacyjnym podczas oceny jej jakości. Taka ocena, zwłaszcza dla systemów działających w Internecie, jest bezwzględnie konieczna z powodu nieustannego, bardzo szybkiego powiększania się dostępnych tam zasobów informacji, ponoszenia zbędnych kosztów ekonomicznych ich złej jakości oraz związanych z tym nowych, niekorzystnych zjawisk społecznych. Jakość informacji jest kategorią wielowymiarową i wymaga oceny bardzo wielu różnych atrybutów. Czy wśród konceptualnych modeli oceny jakości informacji są takie, które wymagają również dokonywania oceny wartości informa…
La valutazione sistemica per la gestione della città interetnica
2006
Lo studio mira ad affinare ed applicare un modello multicriteriale per la valutazione della città intesa come "azienda di erogazione di servizi". I flussi migratori richiedono prestazioni specifiche per la soddisfazione delle necessità primarie e delle aspirazioni delle persone che approdano nelle città europee. Muovendo dall'individuazione di una serie di fattori strategici - desunti dal quadro normativo corrente e dal quadro descrittivo della realtà vissuta dagli immigrati nelle città italiane - strutturati nell'ambito di un apposito modello teorico-operativo elaborato per l'interpretazione della città interetnica, si propone uno strumento per la valutazione della capacità di una città di…
Personalization of Multicriteria Decision Support Systems
2018
The Dagstuhl Seminar 18031 Personalization in Multiobjective Optimization: An Analytics Perspective carried on a series of five previous Dagstuhl Seminars (04461, 06501, 09041, 12041 and 15031) that were focused on Multiobjective Optimization. The continuing goal of this series is to strengthen the links between the Evolutionary Multiobjective Optimization (EMO) and the Multiple Criteria Decision Making (MCDM) communities, two of the largest communities concerned with multiobjective optimization today. Personalization in Multiobjective Optimization, the topic of this seminar, was motivated by the scientific challenges generated by personalization, mass customization, and mass data, and thus…
Comparison of decision variants with reference set (BIPOLAR method) in selection process of suppliers
2018
Bipolar is one of the Multiple Criteria Decision Analysis (MCDA) methods, proposed by Ewa Konarzewska-Gubała [6, 7, 8]. The essence of the analysis in the BIPOLAR method consists in a fact that alternatives are not compared directly to each other, but they are confronted to the two sets of reference objects: good and bad. Some alternatives can be evaluated as over good, i.e. better than at least one of desirable reference object or underbid, i.e. worse than at least of one nonacceptable object. Proposed method takes into account all stages of the decision-making process, starting with the selection of criteria and determining their weights, by modelling the preferences of decision-makers, o…