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المؤلفAmor, Sarah Ben
المؤلفBelaid, Fateh
المؤلفBenkraiem, Ramzi
المؤلفRamdani, Boumediene
المؤلفGuesmi, Khaled
تاريخ الإتاحة2023-02-28T08:32:13Z
تاريخ النشر2022-09-30
اسم المنشورAnnals of Operations Research
المعرّفhttp://dx.doi.org/10.1007/s10479-022-04986-9
الاقتباسAmor, S.B., Belaid, F., Benkraiem, R. et al. Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda. Ann Oper Res (2022). https://doi.org/10.1007/s10479-022-04986-9
الرقم المعياري الدولي للكتاب0254-5330
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139206313&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/40511
الملخصMulti-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-making problems involving multiple options and multiple criteria. These methods have been proven to improve the analytic rigor, transparency, and auditability of the decision-making process by integrating the performance of options in different criteria and balancing subjective preferences from different stakeholders. This review aims to map the academic research on multi-criteria sorting, classification and clustering methods, and highlights the key research trends and avenues by conducting a bibliometric analysis. We contribute to the body of knowledge in multi-criteria decision analysis in four ways: (1) identifying the most influential articles on this topic, (2) mapping the research on multi-criteria sorting, classification and clustering methods, (3) visualizing the trends in this field of research through network analysis, and (4) highlighting areas for future research. The results of this study help academics and practitioners to navigate the literature on MCDA methods, provide a map of existing evidence, and recommend promising avenues for future research.
اللغةen
الناشرSpringer Nature Switzerland AG.
الموضوعBibliometrics
Classification
Clustering
Methods
Modelling
Multi-criteria
Sorting
العنوانMulti-criteria classification, sorting, and clustering: a bibliometric review and research agenda
النوعArticle
الصفحات1-23
ESSN1572-9338
dc.accessType Abstract Only


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