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Wyszukujesz frazę "Fuzzy Data Envelopment Analysis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Forecasting the confidence interval of efficiency in fuzzy DEA
Autorzy:
Kafi, Azarnoosh
Daneshian, Behrouz
Rostamy-Malkhalifeh, Mohsen
Powiązania:
https://bibliotekanauki.pl/articles/2099435.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
data envelopment analysis
DEA
fuzzy data
efficiency
forecast
ranking
confidence interval
Opis:
Data envelopment analysis (DEA) is a well-known method that based on inputs and outputs calculates the efficiency of decision-making units (DMUs). Comparing the efficiency and ranking of DMUs in different periods lets the decision-makers prevent any loss in the productivity of units and improve the production planning. Despite the merits of DEA models, they are not able to forecast the efficiency of future periods with known input/output records of the DMUs. With this end in view, this study aims at proposing a forecasting algorithm with a 95% confidence interval to generate fuzzy data sets for future periods. Moreover, managers’ opinions are inserted in the proposed forecasting model. Equipped with the forecasted data sets and concerning the data sets from earlier periods, this model can rightly forecast the efficiency of the future periods. The proposed procedure also employs the simple geometric mean to discriminate between efficient units. Examples from a real case including 20 automobile firms show the applicability of the proposed algorithm.
Źródło:
Operations Research and Decisions; 2021, 31, 1; 41--59
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A compositional approach to two-stage Data Envelopment Analysis in intuitionistic fuzzy environment
Autorzy:
Javaherian, Nafiseh
Hamzehee, Ali
Tooranloo, Hossein Sayyadi
Powiązania:
https://bibliotekanauki.pl/articles/2099430.pdf
Data publikacji:
2022
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
data envelopment analysis
intuitionistic fuzzy
two-stage DEA
triangular numbers
Opis:
Classical methods of data envelopment analysis operate by measuring the efficiency of decision- -making units (DMUs) compared to similar units, without taking their internal structure into account. However, some DMUs consist of two stages, with the first stage producing an intermediate product, which is then consumed in the second stage to produce the final output. The efficiency of this type of DMU is often measured using two-stage network data envelopment analysis. In real world, most data are vague. Therefore, the inputs and outputs of systems with vagueness data create uncertainty challenges for DMUs. As a result, when uncertainty appears, intuitionistic fuzzy sets can show more information than classical fuzzy sets. This paper presents a model of two-stage Network Data Envelopment Analysis based on intuitionistic fuzzy data, which measures the efficiency of the first and second stages of each DMU, and the overall efficiency measures based on the stage efficiencies.
Źródło:
Operations Research and Decisions; 2021, 31, 1; 21--39
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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