Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation

Autor:	Abdul Malek Yaakob, Shahira Shafie, Alexander Gegov, Siti Fatimah Abdul Rahman, Ku Muhammad Naim Ku Khalif
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	alternatives selection large scale networked rule-based fuzzy sets Z-numbers community detection method Information technology T58.5-58.64
Zdroj:	Information, Vol 14, Iss 11, p 588 (2023)
Druh dokumentu:	article
ISSN:	2078-2489
DOI:	10.3390/info14110588
Popis:	Large-scale group decision-making (LSGDM) has become common in the new era of technology development involving a large number of experts. Recently, in the use of social network analysis (SNA), the community detection method has been highlighted by researchers as a useful method in handling the complexity of LSGDM. However, it is still challenging to deal with the reliability and hesitancy of information as well as the interpretability of the method. For this reason, we introduce a new approach of a Z-hesitant fuzzy network with the community detection method being put into practice for stock selection. The proposed approach was subsequently compared to an established approach in order to evaluate its applicability and efficacy.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9f0666679dcb451c95344f16ae5a85cc Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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