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    Wyświetlanie 1-3 z 3
    Tytuł:
    Fuzzy TOPSIS Approach in Selection of Optimal Noise Barrier for Traffic Noise Abatement
    Autorzy:
    Garg, N.
    Vishesh, Vishesh
    Maji, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/950220.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy TOPSIS
    MADM
    road traffic noise
    fuzzy positive ideal solution (FPIS)
    fuzzy negative ideal solution (FNIS)
    SWOT analysis
    Opis:
    The paper presents a retrospective study for selection of noise barrier for road traffic noise abatement. The work proposes the application of Fuzzy TOPSIS (Technique for order preference by similarity to an ideal solution) approach is selection of optimal road traffic noise barrier. The present work utilizes the fuzzy TOPSIS model proposed by Mahdavi et al. (2008) in determination of ranking order of various types of noise barriers with respect to the various criteria considered. It is suggested that application of this approach can be very helpful in selection and application of optimal noise barrier for road traffic noise abatement.
    Źródło:
    Archives of Acoustics; 2015, 40, 4; 453--467
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies
    Autorzy:
    Kokoç, Melda
    Ersöz, Süleyman
    Powiązania:
    https://bibliotekanauki.pl/articles/2100434.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    multi-criteria decision-making
    review
    interval-valued intuitionistic fuzzy set
    MCDM
    MADM
    Opis:
    Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.
    Źródło:
    Operations Research and Decisions; 2021, 31, 4; 89--116
    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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