Show simple item record

AuthorAmor, Sarah Ben
AuthorBelaid, Fateh
AuthorBenkraiem, Ramzi
AuthorRamdani, Boumediene
AuthorGuesmi, Khaled
Available date2023-02-28T08:32:13Z
Publication Date2022-09-30
Publication NameAnnals of Operations Research
Identifierhttp://dx.doi.org/10.1007/s10479-022-04986-9
CitationAmor, 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
ISSN0254-5330
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85139206313&origin=inward
URIhttp://hdl.handle.net/10576/40511
AbstractMulti-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.
Languageen
PublisherSpringer Nature Switzerland AG.
SubjectBibliometrics
Classification
Clustering
Methods
Modelling
Multi-criteria
Sorting
TitleMulti-criteria classification, sorting, and clustering: a bibliometric review and research agenda
TypeArticle
Pagination1-23
ESSN1572-9338
dc.accessType Abstract Only


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record