Y Song, G Li, D Ergu, N Liu - Journal of the Operational Research …, 2022 - Taylor & Francis
The use of probabilistic uncertain linguistic preference relations (PULPRs) enriches the flexibility of decision makers (DMs) in group decision making (GDM). However, the GDM …
Y Song, G Li, T Li, Y Li - Journal of Retailing and Consumer Services, 2021 - Elsevier
Ranking alternative products to help consumers make better purchase choices is a valuable research topic. Most previous decision support models cannot be well applied to …
Y Song, G Li, H Zhu - IEEE Transactions on Engineering …, 2023 - ieeexplore.ieee.org
In order to improve the quality of consumer decision making, ranking products is an important task for e-commerce platforms. Yet, prior product ranking methods usually …
V Boppana, P Sandhya - Journal of Big Data, 2021 - Springer
Recommendation systems are obtaining more attention in various application fields especially e-commerce, social networks and tourism etc. The top items are recommended …
D Wang, Q Jia, R Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
In this study, to reduce the occurrence of risks and risk accidents in the construction stages of engineering projects and strengthen the risk management abilities of the subjects of such …
G Wu, L Deng, X Niu - Discrete Dynamics in Nature and …, 2022 - Wiley Online Library
Boosting green technology innovation of enterprise is the key to achieving a win‐win situation for both environmental performance and economic performance. However, some …
MY Li, XJ Zhao, L Zhang, X Ye, B Li - Kybernetes, 2021 - emerald.com
Purpose In recent years, the updating speed of products has been significantly accelerated, which not only provides diversified styles for consumers to select from but also makes …
Z Xiong, P Wang, L Wang - Economic research-Ekonomska …, 2023 - hrcak.srce.hr
Carrying out follow-up innovation activities is significant to encourage firms with failed innovation to improve their innovation quality and sustainable competitiveness. However …
AB Chopra, VS Dixit - Journal of Intelligent Systems, 2022 - degruyter.com
Recommender system (RS) depends on the thoughts of numerous users to predict the favourites of potential consumers. RS is vulnerable to malicious information. Unsuitable …