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    Wyświetlanie 1-3 z 3
    Tytuł:
    New type of fuzzy ideals in BCK/BCI algebras
    Autorzy:
    Subha, V. S.
    Dhanalakshmi, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193304.pdf
    Data publikacji:
    2021
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    BCK-algebras
    BCK-ideals
    Homomorphism
    Pythagorean fuzzy ideal
    Pythagorean fuzzy sets
    Pythagorean fuzzy subalgebras
    Rough Fuzzy sets
    Rough Pythagorean fuzzy ideals
    Rough Pythagorean fuzzy sets
    Rough sets
    Sub algebras
    Opis:
    In this paper, we expose pythagorean fuzzy sets in BCK-algebras. Also we define pythagorean fuzzy subalgebra, pythagorean fuzzy ideal in BCK-algebra and investigate some properties of these ideals. Some interesting examples are given. Homomorphism of pythagorean fuzzy set in BCK-algebras are introduce. Moreover we combine the pythagorean fuzzy set and rough sets in BCK-algebras. The concept of rough pythagorean fuzzy ideals in BCK-algebras are introduce.
    Źródło:
    World Scientific News; 2021, 153, 2; 80-92
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Logarithmic similarity measures on Pythagorean fuzzy sets in admission process
    Autorzy:
    Arora, Hari Darshan
    Naithani, Anjali
    Powiązania:
    https://bibliotekanauki.pl/articles/2100449.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    intuitionistic fuzzy sets
    Pythagorean fuzzy sets
    similarity measures
    weighted similarity measures
    logarithmic function
    decision-making
    Opis:
    The intuitionistic fuzzy sets (IFSs) have a more significant contribution to describing and dealing with uncertainty. The intuitionistic fuzzy measure is a significant consideration in the field of IFSs theory. However, Pythagorean fuzzy sets (PFSs) are an extension of the IFSs. PFSs are more capable of modelling uncertainties than IFSs in real-world decision-making scenarios. The majority of PFSs research has concentrated on establishing decision-making frameworks. A similarity measure is a key concept which measures the closeness of PFSs. IFSs-based similarity measures have been proposed in the literature. This type of similarity measure, however, has a drawback since it cannot satisfy the axiomatic definition of similarity by offering counter-intuitive examples. For this study, a similarity-based on logarithmic function for Pythagorean fuzzy sets (PFSs) is proposed as a solution to the problem. A decision-making approach is presented to ascertain the suitability of careers for aspirants. Additionally, numerical illustration is applied to determine the strength and validity of the proposed similarity measures. The application of the proposed similarity measures is also presented in this article. A comparison of the suggested measures with the existing ones is also demonstrated to ensure the reliability of the measures. The results show that the proposed similarity measures are efficient and reasonable from both numerical and realistic assessments.
    Źródło:
    Operations Research and Decisions; 2022, 32, 1; 5--24
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dual hesitant Pythagorean fuzzy Bonferroni mean operators in multi-attribute decision making
    Autorzy:
    Tang, Xiyue
    Wei, Guiwu
    Powiązania:
    https://bibliotekanauki.pl/articles/229277.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multiple attribute decision making
    MADM
    dual hesitant Pythagorean fuzzy sets
    dual hesitant Pythagorean fuzzy Bonferroni mean operator
    DHPFBM
    dual hesitant Pythagorean fuzzy geometric Bonferroni mean operator
    DHPFGBM
    supplier selection
    supply chain management
    Opis:
    In this paper, we investigate the multiple attribute decision making problems based on the Bonferroni mean operators with dual Pythagorean hesitant fuzzy information. Firstly, we introduce the concept and basic operations of the dual hesitant Pythagorean fuzzy sets, which is a new extension of Pythagorean fuzzy sets. Then, motivated by the idea of Bonferroni mean operators, we have developed some Bonferroni mean aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.
    Źródło:
    Archives of Control Sciences; 2019, 29, 2; 339-386
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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