An Uncertain and Preference Evaluation Model with Basic Uncertain Information in Educational Management
Year: 2020
Type: article
Abstract: Information fusion Multi-criteria decision-making Ordered weighted averaging operators A B S T R A C TMost of the evaluation problems are comprehensive and with ever-increasingly more uncertainties.By quantifying the involved uncertainties, Basic Uncertain Information can both well handle and merge those uncertainties in the input information.This study proposed a two-level comprehensive evaluation model by using some merging techniques which can consider both the original preference information and the bi-polar preference over the information with high certainty degrees.A numerical application in educational evaluation is also proposed to verify the effectiveness and flexibility of the proposed model.
Authors: Cheng Zhu, Er Zi Zhang, Zhen Wang, Ronald R. Yager, Zhi Song Chen, Zhi Song Chen, Le Sheng Jin, Zhen-Song Chen, Zhen-Song Chen
Institutions: Nanjing Normal University, Iona College, Wuhan University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,490
Award: G3320061235
OpenAlex ID: W3105645972