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Wyszukujesz frazę "fuzzy soft set" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Object-parameter approaches to predicting unknown data in an incomplete fuzzy soft set
Autorzy:
Liu, Y.
Qin, K.
Rao, C.
Alhaji Mahamadu, M.
Powiązania:
https://bibliotekanauki.pl/articles/331019.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
fuzzy soft set
incomplete fuzzy soft set
object parameter approach
prediction
similarity measures
zbiór rozmyty
podejście obiektowe
miara podobieństwa
Opis:
The research on incomplete fuzzy soft sets is an integral part of the research on fuzzy soft sets and has been initiated recently. In this work, we first point out that an existing approach to predicting unknown data in an incomplete fuzzy soft set suffers from some limitations and then we propose an improved method. The hidden information between both objects and parameters revealed in our approach is more comprehensive. Furthermore, based on the similarity measures of fuzzy sets, a new adjustable object-parameter approach is proposed to predict unknown data in incomplete fuzzy soft sets. Data predicting converts an incomplete fuzzy soft set into a complete one, which makes the fuzzy soft set applicable not only to decision making but also to other areas. The compared results elaborated through rate exchange data sets illustrate that both our improved approach and the new adjustable object-parameter one outperform the existing method with respect to forecasting accuracy.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2017, 27, 1; 157-167
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new method for decision making problems with redundant and incomplete information based on incomplete soft sets: From crisp to fuzzy
Autorzy:
Xia, Sisi
Chen, Lin
Liu, Siya
Yang, Haoran
Powiązania:
https://bibliotekanauki.pl/articles/2172131.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
decision-making
soft set
incomplete fuzzy soft set
incomplete information
redundant information
podejmowanie decyzji
zbiór miękki
informacja niepełna
informacja zbędna
Opis:
This research is focused on decision-making problems with redundant and incomplete information under a fuzzy environment. Firstly, we present the definition of incomplete fuzzy soft sets and analyze their data structures. Based on that, binary relationships between each pair of objects and the “restricted/relaxed AND” operations in the incomplete fuzzy soft set are discussed. After that, the definition of incomplete fuzzy soft decision systems is proposed. To reduce the inconsistency caused by the redundant information in decision making, the significance of the attribute subset, the reduct attribute set, the optimal reduct attribute set and the core attribute in incomplete fuzzy soft decision systems is also discussed. These definitions can be applied in an incomplete fuzzy soft set directly, so there is no need to convert incomplete data into complete one in the process of reduction. Then a new decision-making algorithm based on the above definitions can be developed, which can deal with redundant information and incomplete information simultaneously, and is independent of some unreliable assumptions about the data generating mechanism to forecast the incomplete information. Lastly, the algorithm is applied in the problem of regional food safety evaluation in Chongqing, China, and the corresponding comparison analysis demonstrates the effectiveness of the proposed method.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 657--669
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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