Related references
Note: Only part of the references are listed.Machine learning based decision making for time varying systems: Parameter estimation and performance optimization
Yiyang Chen et al.
KNOWLEDGE-BASED SYSTEMS (2020)
A prospect theory-based three-way decision model
Tianxing Wang et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
Xilei Zhao et al.
TRAVEL BEHAVIOUR AND SOCIETY (2020)
Revealing psychological inertia in mode shift behavior and its quantitative influences on commuting trips
Kun Gao et al.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2020)
An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment
Quanjian Gao et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Applying a random forest method approach to model travel mode choice behavior
Long Cheng et al.
TRAVEL BEHAVIOUR AND SOCIETY (2019)
Airline itinerary choice modeling using machine learning
Alix Lheritier et al.
JOURNAL OF CHOICE MODELLING (2019)
Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model
Fangru Wang et al.
TRANSPORTATION RESEARCH RECORD (2018)
Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model
Nima Golshani et al.
TRAVEL BEHAVIOUR AND SOCIETY (2018)
A comparative study of machine learning classifiers for modeling travel mode choice
Julian Hagenauer et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Fuzzy best-worst multi-criteria decision-making method and its applications
Sen Guo et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Adaptive random forests for evolving data stream classification
Heitor M. Gomes et al.
MACHINE LEARNING (2017)
Text Mining the Contributors to Rail Accidents
Donald E. Brown
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)
Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules
Milosz Kadzinski et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Regret minimization or utility maximization: it depends on the attribute
Caspar G. Chorus et al.
ENVIRONMENT AND PLANNING B-PLANNING & DESIGN (2013)
Random Regret Minimization: An Overview of Model Properties and Empirical Evidence
Caspar Chorus
TRANSPORT REVIEWS (2012)
Designing efficient stated choice experiments in the presence of reference alternatives
John M. Rose et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2008)
A random regret-minimization model of travel choice
Caspar G. Chorus et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2008)
Travel Mode Choice Modeling with Support Vector Machines
Yunlong Zhang et al.
TRANSPORTATION RESEARCH RECORD (2008)
Modeling discrete choices in the presence of inertia and serial correlation
Victor Cantillo et al.
TRANSPORTATION SCIENCE (2007)
Comparing effect sizes in follow-up studies:: ROC area, Cohen's d, and r
ME Rice et al.
LAW AND HUMAN BEHAVIOR (2005)
Theoretical comparison between the Gini Index and Information Gain criteria
LE Raileanu et al.
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE (2004)
Generalized random utility model
J Walker et al.
MATHEMATICAL SOCIAL SCIENCES (2002)