A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making 2023

In the realm of multi-criteria decision-making (MCDM) problems, the selection of a weighting method holds a critical role. Researchers from diverse fields have consistently employed MCDM techniques, utilizing both traditional and novel methods to enhance the discipline. Acknowledging the significance of staying abreast of such methodological developments, this study endeavors to contribute to the field through a comprehensive review of several novel weighting-based methods: CILOS, IDOCRIW, FUCOM, LBWA, SAPEVO-M, and MEREC. Each method is scrutinized in terms of its characteristics and steps while also drawing upon publications extracted from the Web of Science (WoS) and Scopus databases. Through bibliometric and content analyses, this study delves into the trend, research components (sources, authors, countries, and affiliations), application areas, fuzzy implementations, hybrid studies (use of other weighting and/or ranking methods), and application tools for these methods. The findings of this review offer an insightful portrayal of the applications of each novel weighting method, thereby contributing valuable knowledge for researchers and practitioners within the field of MCDM.

Autores	Ayan, B; Abacioglu, S; Basilio, MP
Título	A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making
Afiliaciones	MEF Universitesi; Ondokuz Mayis University; Universidade Federal Fluminense
Año	2023
DOI	10.3390/info14050285
Tipo de acceso abierto	gold
Referencia	WOS:000997231300001
Artículo obtenido de:	WOS

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A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making

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