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 …

Mining Maximum Ordinal-Cardinal Consensus for Large-Scale Group Decision Making with Incomplete Fuzzy Preference Relations

Q Liang, C Luo, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In large-scale group decision-making (LSGDM), incomplete preferences often arise due to
the complexity of LSGDM or the limited experience of decision-makers (DMs). When DMs …

Approval-based committee voting in practice: a case study of (over-) representation in the Polkadot blockchain

N Boehmer, M Brill, A Cevallos, J Gehrlein… - Proceedings of the …, 2024 - ojs.aaai.org
We provide the first large-scale data collection of real-world approval-based committee
elections. These elections have been conducted on the Polkadot blockchain as part of their …

[HTML][HTML] Determining investment allocation strategies to improve consumer satisfaction based on a preference learning model

X Wu, H Liao - Journal of Retailing and Consumer Services, 2025 - Elsevier
Mining product attribute performance, importance, and their (a) symmetric impacts on
consumer satisfaction from online reviews is crucial for enterprises to formulate real-time …

An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting

Z Li, Z Zhang, W Pedrycz - European Journal of Operational Research, 2024 - Elsevier
Leveraging assignment example preference information, to determine the shape of marginal
utility functions and category thresholds of the threshold-based multi-criteria sorting (MCS) …

Improving preference disaggregation in multicriteria decision making: incorporating time series analysis and a multi-objective approach

BSC Campello, S BenAmor, LT Duarte… - Information Sciences, 2025 - Elsevier
Preference disaggregation analysis (PDA) is an approach in multicriteria decision analysis
that aims to extract preferential information from holistic judgments provided by decision …

Best-Worst Disaggregation: An approach to the preference disaggregation problem

M Brunelli, F Liang, J Rezaei - arXiv preprint arXiv:2410.12678, 2024 - arxiv.org
Preference disaggregation methods in Multi-Criteria Decision-Making (MCDM) often
encounter challenges related to inconsistency and cognitive biases when deriving a value …