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Wyświetlanie 1-4 z 4
Tytuł:
MODIFICATIONS OF THE MAXIMIN JOY CRITERION FOR DECISION MAKING UNDER UNCERTAINTY
Autorzy:
Gaspars-Wieloch, Helena
Powiązania:
https://bibliotekanauki.pl/articles/453438.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
decision making under uncertainty
optimal pure strategy
maximin joy criterion
payoff matrix
Opis:
Decision making under uncertainty (DMU) occurs when the decision maker (DM) has to choose an appropriate alternative on the basis of a set of decisions and a set of scenarios (with an unknown probability distribution). The author suggests two modifications of the maximin joy criterion (MJC) - one of the classical decision rules used in DMU by pessimists searching for an optimal pure strategy. The goal of the alterations for MJC is to accentuate more effectively the position of particular outcomes in comparison with other outcomes connected with a given scenario.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 2; 84-93
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Scenario planning as a new application area for TOPSIS
Autorzy:
Gaspars-Wieloch, Helena
Powiązania:
https://bibliotekanauki.pl/articles/27315335.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
TOPSIS
scenario planning
uncertainty
certainty
one-criterion decision-making
multi-criteria decision-making
rankings
Opis:
TOPSIS is a well-known approach applied to multi-criteria decision-making under certainty (M-DMC). However, recently, some analogies between this domain and scenario-based one-criterion decision-making under uncertainty (1-DMU) have been revealed in the literature. Thus, the similarities aforementioned give the possibility to adjust TOPSIS to another area. The goal of the paper is to create a new method for problems with non-deterministic parameters on the basis of TOPSIS ideas. In the suggested approach criteria weights (declared within TOPSIS) are replaced by subjective chances of occurrence which are estimated for each scenario. The novel method has an advantage over existing classical decision rules designed for 1-criterion decision-making under uncertainty since within this procedure each payoff connected with a given option is compared with the positive and negative-ideal solutions.
Źródło:
Operations Research and Decisions; 2023, 33, 2; 23--34
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On some analogies between one-criterion decision making under uncertainty and multi-criteria decision making under certainty
Autorzy:
Gaspars-Wieloch, Helena
Powiązania:
https://bibliotekanauki.pl/articles/1837907.pdf
Data publikacji:
2021-06-30
Wydawca:
Uniwersytet Ekonomiczny w Poznaniu
Tematy:
one-criterion and multi-criteria decision making
certainty
uncertainty
scenario planning
economic problems
optimization
payof matrix
decision rules
decision maker's preferences
Opis:
One-criterion decision making under uncertainty (1-DM/U) is related to situations in which the decision maker (DM) evaluates the alternatives on the basis of one objective, but e.g. due to numerous uncertain future factors some parameters of the problem are not deterministic. Instead of entirely known paramaters, a set of possible scenarios is available. Multi-criteria decision making under certainty (M-DM/C) concerns cases where the DM assesses particular options in terms of many objectives. The parameters are known. Therefore, scenario planning is redundant. Both issues are investigated by many researchers and practitioners, since real economic decision problems are usually at least uncertain or multi-objective. In the paper, numerous analogies between 1-DM/U and M-DM/C are revealed. Some of them have existed for many decades, but others, so far, have not been developed. A careful examination of all the similarities enables an improvement of existing methods and a formulation of new algorithms for 1-DM/U and M-DM/C. The article presents six pairs of similar procedures and contains the description of three novel approaches created by analogy to existing ones.
Źródło:
Economics and Business Review; 2021, 7, 2; 17-36
2392-1641
Pojawia się w:
Economics and Business Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Critical analysis of classical scenario-based decision rules for pure strategy searching
Autorzy:
Gaspars-Wieloch, Helena
Powiązania:
https://bibliotekanauki.pl/articles/1858406.pdf
Data publikacji:
2020
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
classical uncertainty one-criterion decision rules
scenario planning
pure strategy
decision maker preferences
economic case study
klasyczne jednokryterialne reguły decyzyjne
planowanie scenariuszowe
strategia czysta
preferencje decydenta
ekonomiczne studium przypadku
Opis:
Purpose: The contribution briefly presents the essence and applications of the well-known classical decision rules designed for decision making under uncertainty with unknown probabilities and based on scenario planning. We concentrate on games against nature, pure strategy searching and one-criterion optimization. Design/methodology/approach: The main goal of this work is to analyse numerous case studies and formulate conclusions concerning the properties (in particular drawbacks and limitations) of the aforementioned strategic procedures. Findings: The paper focuses on the limited usefulness of classical decision rules in real economic decision problems. It is advised to apply them very carefully. Research limitations/implications: A similar analysis for mixed strategy searching and multi-criteria optimization should be performed within a future research. Originality/value: The work offers numerous practical guidelines modifying existing procedures and allowing decision makers to obtain logic recommendations.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2020, 149; 155-165
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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