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Wyszukujesz frazę "aggregation operators" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
OWA operators in the weighted average and their application in decision making
Autorzy:
Merigó, J. M.
Powiązania:
https://bibliotekanauki.pl/articles/205674.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
weighted average
OWA operator
decision-making
aggregation operators
Opis:
We introduce a new aggregation operator that unifies the weighted average (WA) and the ordered weighted averaging (OWA) operator in a single formulation. We call it the ordered weighted averaging - weighted average (OWAWA) operator. This aggregation operator provides a more complete representation of the weighted average and the OWA operator because it considers the degree of importance that each concept has in the aggregation and includes them as particular cases of a more general context. We study different properties and families of the OWAWA operator. The applicability of this method is very broad because any study that uses the weighted average or the OWA can be revised and extender with our approach. We focus on a multi-person decision-making application in the selection of financial strategies.
Źródło:
Control and Cybernetics; 2012, 41, 3; 605-643
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Minkowski’s inequality based sensitivity analysis of fuzzy signatures
Autorzy:
Harmati, I. Á.
Bukovics, Á.
Kóczy, L. T.
Powiązania:
https://bibliotekanauki.pl/articles/91806.pdf
Data publikacji:
2016
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
aggregation operators
generalized mean
sensitivity analysis
fuzzy signatures
building diagnostics
Opis:
Fuzzy signatures were introduced as special tools to describe and handle complex systems without their detailed mathematical models. The input parameters of these systems naturally have uncertainties, due to human activities or lack of precise data. These uncertainties influence the final conclusion or decision about the system. In this paper we discuss the sensitivity of the weigthed general mean aggregation operator to the uncertainty of the input values, then we analyse the sensitivity of fuzzy signatures equipped with these aggregation operators. Finally, we apply our results to a fuzzy signature used in civil enginnering.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 4; 219-229
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information
Autorzy:
Zhao, Butian
Zhang, Runtong
Xing, Yuping
Powiązania:
https://bibliotekanauki.pl/articles/1845505.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
interval-valued q-rung dual hesitant fuzzy set
Maclaurin symmetric mean operator
multi-criteria decision-making
aggregation operators
Opis:
In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 645-685
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information
Autorzy:
Zhao, Butian
Zhang, Runtong
Xing, Yuping
Powiązania:
https://bibliotekanauki.pl/articles/1845522.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
interval-valued q-rung dual hesitant fuzzy set
Maclaurin symmetric mean
operator
multi-criteria decision-making
aggregation operators
Opis:
In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 645-685
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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