On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Intelligent decision system and its application in business innovation self assessment
Decision Support Systems
Evidential reasoning approach for bridge condition assessment
Expert Systems with Applications: An International Journal
Group-based ER-AHP system for product project screening
Expert Systems with Applications: An International Journal
Failure mode and effects analysis using a group-based evidential reasoning approach
Computers and Operations Research
An evidential reasoning based approach for quality function deployment under uncertainty
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Development of audit system for intellectual property management excellence
Expert Systems with Applications: An International Journal
A new approach to the rule-base evidential reasoning: Stock trading expert system application
Expert Systems with Applications: An International Journal
A group evidential reasoning approach for enterprise architecture framework selection
International Journal of Information Technology and Management
New model for system behavior prediction based on belief rule based systems
Information Sciences: an International Journal
On the dynamic evidential reasoning algorithm for fault prediction
Expert Systems with Applications: An International Journal
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
Inference analysis and adaptive training for belief rule based systems
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
Optimization algorithm for learning consistent belief rule-base from examples
Journal of Global Optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
A stock trading expert system based on the rule-base evidential reasoning using Level 2 Quotes
Expert Systems with Applications: An International Journal
The conjunctive combination of interval-valued belief structures from dependent sources
International Journal of Approximate Reasoning
A belief-rule-based inventory control method under nonstationary and uncertain demand
Expert Systems with Applications: An International Journal
Group consensus based on evidential reasoning approach using interval-valued belief structures
Knowledge-Based Systems
Structure learning for belief rule base expert system: A comparative study
Knowledge-Based Systems
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In many decision situations, it is inevitable to deal with both quantitative and qualitative information under uncertainty. Evidence-based reasoning within a multiple criteria decision analysis framework provides an alternative way of handling such information systematically and consistently. In this paper, the evidential reasoning (ER) approach is introduced, which is based on a recursive ER algorithm that, in essence, constitutes a nonlinear information aggregation process. To facilitate the application of the ER approach and as an indispensable part of its development, the nonlinear features of the ER information aggregation process need to be thoroughly investigated and properly understood. This forms the theme of this paper where the nonlinear features are explored by examining typical reasoning patterns in aggregating harmonic, quasi-harmonic, and contradictory decision information. This analytical investigation provides insights into the recursive nature of the ER approach as well as valuable experience that could be useful to other researchers and practitioners interested in developing and applying operation research/artificial intelligence (OR/AI)-based approaches for decision analysis under uncertainty. The analytical study is complemented by the numerical studies of two application examples. The analysis of a quality assessment problem for motor engines is aimed to show the step-by-step process of implementing the ER approach and to illustrate its nonlinear features in a real-life decision situation. The study of a more complex assessment problem in ship design is intended to demonstrate the potential of the ER approach and its supporting software for dealing with general decision problems.