Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding.

Preference Construction: A Bayesian Interactive Preference Elicitation Framework Based on Monte Carlo Tree Search.

Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach.

A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition.

The merits of the pre-owned strategy: Price competition in multichannel digital goods distribution.

An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration.

Attracting solvers' participation in crowdsourcing contests: The role of linguistic signals in task descriptions.

Exploring bimodal multi-level networks: Network structure and dynamics driving herding effects and growth in livestreaming.

Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences.

Efficient fraud detection using deep boosting decision trees.

Hyperspectral Image Super-Resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network.

Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach.

Provable Tensor Completion with Graph Information.

Deciphering Feature Effects on Decision-Making in Ordinal Regression Problems: An Explainable Ordinal Factorization Model.

The Emergence of a Sharing Market: Pricing, Supply, and Consumption.

Bayesian ordinal regression for multiple criteria choice and ranking.

SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning.

Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria.

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.

An interpretable neural network model through piecewise linear approximation.

A multiple criteria approach integrating social ties to support purchase decision.

Recommendation Mechanism for Patent Trading Empowered by Heterogeneous Information Networks.

A progressive sorting approach for multiple criteria decision aiding in the presence of non-monotonic preferences.

Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria.

Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation.

An interpretable machine learning framework for modelling human decision behavior.

A new decision-making approach for multiple criteria sorting with an imbalanced set of assignment examples.

Selling or leasing? Dynamic pricing of software with upgrades.

A hybrid model of single valued neutrosophic sets and rough sets: single valued neutrosophic rough set model.

A social ties-based approach for group decision-making problems with incomplete additive preference relations.

When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?

A context-aware researcher recommendation system for university-industry collaboration on R&D projects.

On single valued neutrosophic relations.

A group decision-making approach based on evidential reasoning for multiple criteria sorting problem with uncertainty.

Decision support for preference elicitation in multi-attribute electronic procurement auctions through an agent-based intermediary.

Fuzzy probabilistic rough set model on two universes and its applications.

Approaches to attribute reductions based on rough set and matrix computation in inconsistent ordered information systems.

An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities.

Optimizing reservoir features in oil exploration management based on fusion of soft computing.

A rough set approach to knowledge discovery in analyzing competitive advantages of firms.

A model for selecting an ERP system based on linguistic information processing.

Decision support for risk analysis on dynamic alliance.