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    Wyświetlanie 1-3 z 3
    Tytuł:
    Interval-valued dual hesitant fuzzy prioritized aggregation operators based on Archimedean t-conorm and t-norm and their applications to multi-criteria decision making
    Autorzy:
    Sarkar, Arun
    Biswas, Animesh
    Powiązania:
    https://bibliotekanauki.pl/articles/1409078.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    multi-criteria decision-making
    interval-valued dual hesitant fuzzy elements
    Archimedean t-conorm and t-norm
    prioritized weighted averaging operator
    prioritized weighted geometric operator
    Opis:
    Multi-criteria decision making (MCDM) technique and approach have been a trending topic in decision making and systems engineering to choosing the probable optimal options. The primary purpose of this article is to develop prioritized operators to multi-criteria decision making (MCDM) based on Archimedean t-conorm and t-norms (At-CN&t-Ns) under interval-valued dual hesitant fuzzy (IVDHF) environment. A new score function is defined for finding the rank of alternatives in MCDM problems with IVDHF information based on priority levels of criteria imposed by the decision maker. This paper introduces two aggregation operators: At-CN&t-N-based IVDHF prioritized weighted averaging (AIVDHFPWA), and weighted geometric (AIVDHFPWG) aggregation operators. Some of their desirable properties are also investigated in details. A methodology for prioritization-based MCDM is derived under IVDHF information. An illustrative example concerning MCDM problem about a Chinese university for appointing outstanding oversea teachers to strengthen academic education is considered. The method is also applicable for solving other real-life MCDM problems having IVDHF information.
    Źródło:
    Archives of Control Sciences; 2021, 31, 1; 213-247
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Linguistic -rung orthopair fuzzy prioritized aggregation operators based on Hamacher -norm and -conorm and their applications to multicriteria group decision making
    Autorzy:
    Deb, Nayana
    Sarkar, Arun
    Biswas, Animesh
    Powiązania:
    https://bibliotekanauki.pl/articles/2134889.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    linguistic -rung orthopair fuzzy set
    multicriteria group decision making
    Hamacher operations
    prioritized aggregation operator
    Opis:
    The linguistic q-rung orthopair fuzzy (Lq-ROF) set is an important implement in the research area in modelling vague decision information by incorporating the advantages of q-rung orthopair fuzzy sets and linguistic variables. This paper aims to investigate the multicriteria decision group decision making (MCGDM) with Lq-ROF information. To do this, utilizing Hamacher t-norm and t-conorm, some Lq-ROF prioritized aggregation operators viz., Lq-ROF Hamacher prioritized weighted averaging, and Lq-ROF Hamacher prioritized weighted geometric operators are developed in this paper. The defined operators can effectively deal with different priority levels of attributes involved in the decision making processes. In addition, Hamacher parameters incorporated with the proposed operators make the information fusion process more flexible. Some prominent characteristics of the developed operators are also well-proven. Then based on the proposed aggregation operators, an MCGDM model with Lq-ROF context is framed. A numerical example is illustrated in accordance with the developed model to verify its rationality and applicability. The impacts of Hamacher and rung parameters on the achieved decision results are also analyzed in detail. Afterwards, a comparative study with other representative methods is presented in order to reflect the validity and superiority of the proposed approach.
    Źródło:
    Archives of Control Sciences; 2022, 32, 2; 451--484
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Influence of socio-demographic factors on the breastfeeding period of women in Bangladesh: a polytomous logistic regression model
    Autorzy:
    Islam, Masudul
    Afroja, Sohani
    Biswas, Animesh
    Khan, Md. Salauddin
    Khandker, Sara
    Powiązania:
    https://bibliotekanauki.pl/articles/551863.pdf
    Data publikacji:
    2019
    Wydawca:
    Stowarzyszenie Przyjaciół Medycyny Rodzinnej i Lekarzy Rodzinnych
    Tematy:
    chi-square distribution
    logistic models
    breastfeeding
    milk
    Bangladesh
    odds ratio
    Opis:
    Background. In Bangladesh, terrible degradation in the breastfeeding period has occurred with rapid urbanization in recent years that is causing a shortage of child nourishment. Identifying the risk factors of breastfeeding duration is important for planning nutritional programs and strategies. Objectives. This study tries to identify influential demographic and socio-economic factors that affect the breastfeeding period for reducing child nutrition deficiency. Material and methods. The study attempts to proceed with data collected from an observational study entitled the Bangladesh Demographic and Health Survey (BDHS) 2014. The breastfeeding period (Ordinal exogenous variable) is classified into three groups: 0–5-months, 6–23 months and at least 24 months. Gamma, chi-square and linear-by-linear statistics are used to identify the associated factors that have an impact on the breastfeeding period. A test of parallelism is conducted to evaluate the proportional odds. The polytomous logistic regression (PLR) model and the proportional odds (PO) model are used to find the marginal effect of demographic and socio-economic predictors that affect the breastfeeding period. Results. Parental educational attainment, wealth index, division, religion, mother’s BMI, drinking water source, household members, amenorrhea and abstaining, respectively, are the most significant factors that influence the breastfeeding period. The PLR model is also more precise than the PO model for indicating the marginal effect among those vital factors for the breastfeeding period. Conclusions. PLR is an appropriate model to recognize the effect of predictors of breastfeeding duration instead of the PO model and other measures.
    Źródło:
    Family Medicine & Primary Care Review; 2019, 3; 223-229
    1734-3402
    Pojawia się w:
    Family Medicine & Primary Care Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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