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Explainable AI for healthcare 5.0: opportunities and challenges
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …
complexity of preference information in linguistic decision making. To provide a …
Platform operations in the industry 4.0 era: Recent advances and the 3As framework
In the Industry 4.0 era, implementing advanced technologies to enhance platform operations
is crucial. Motivated by the importance of platforms and the wide implementation of Industry …
is crucial. Motivated by the importance of platforms and the wide implementation of Industry …
Impacts of online consumer reviews on a dual-channel supply chain
W Yang, J Zhang, H Yan - Omega, 2021 - Elsevier
This paper investigates the effects of online consumer reviews (OCRs) in a dual channel
where the manufacturer distributes a product through a retail channel and an Internet …
where the manufacturer distributes a product through a retail channel and an Internet …
[HTML][HTML] Modeling conceptual framework for implementing barriers of AI in public healthcare for improving operational excellence: experiences from develo** …
This study work is among the few attempts to understand the significance of AI and its
implementation barriers in the healthcare systems in develo** countries. Moreover, it …
implementation barriers in the healthcare systems in develo** countries. Moreover, it …
Consumer preference analysis: Diverse preference learning with online ratings
P Ren, X Liu, WG Zhang - Omega, 2024 - Elsevier
In the information age, there is a growing need to process and analyze the great number of
online reviews to understand consumer preferences and product reputations. Instead of …
online reviews to understand consumer preferences and product reputations. Instead of …
Competition equilibrium of ride-sourcing platforms and optimal government subsidies considering customers' green preference under peak carbon dioxide emissions
M Zhao, B Li, J Ren, Z Hao - International Journal of Production Economics, 2023 - Elsevier
With the proposal of the “peak carbon dioxide emissions”(carbon peak), committing to
carbon emission reduction in the ride-sourcing market has become the focus of the …
carbon emission reduction in the ride-sourcing market has become the focus of the …
Adaptive multi-criteria decision making for electric vehicles: A hybrid approach based on RANCOM and ESP-SPOTIS
In today's globalized technological area, aligning decisions with customer preferences is
crucial yet challenging due to the complexities and uncertainties involved. Multi-Criteria …
crucial yet challenging due to the complexities and uncertainties involved. Multi-Criteria …
Leveraging explainable artificial intelligence in understanding public transportation usage rates for sustainable development
Public transportation usage prediction is valuable for the sustainable development of
transportation systems, particularly in crowded megacities. Machine learning technologies …
transportation systems, particularly in crowded megacities. Machine learning technologies …
Modeling personalized cognition of customers in online shop**
Online reviews play an important role in online shop**. Previous studies on Multi-Criteria
Decision Making (MCDM) based on customer reviews focused too much on sentiment words …
Decision Making (MCDM) based on customer reviews focused too much on sentiment words …