Applying fuzzy set theory to evaluate the rate of aggregative risk in software development
Fuzzy Sets and Systems
Information Sciences: an International Journal
Fractional programming approach to fuzzy weighted average
Fuzzy Sets and Systems
Advances in Engineering Software
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Information Sciences: an International Journal
Fuzzy decision support system for risk analysis in e-commerce development
Decision Support Systems
A simple approach to ranking a group of aggregated fuzzy utilities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Fuzzy Evaluation Approach for Bridge Based on Domain Knowledge
CAR '09 Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
A method based on stochastic dominance degrees for stochastic multiple criteria decision making
Computers and Industrial Engineering
Standard and mean deviation methods for linguistic group decision making and their applications
Expert Systems with Applications: An International Journal
Multicriteria decision making with 2-dimension linguistic aggregation techniques
International Journal of Intelligent Systems
Using Fuzzy AHP to manage Intellectual Capital assets: An application to the ICT service industry
Expert Systems with Applications: An International Journal
Probabilistic risk assessment of tunneling-induced damage to existing properties
Expert Systems with Applications: An International Journal
Business-driven management of infrastructure-level risks in Cloud providers
Future Generation Computer Systems
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This paper proposes a fuzzy group decision making (FGDM) approach for bridge risk assessment. The FGDM approach allows decision makers (DMs) to evaluate bridge risk factors using linguistic terms such as Certain, Very High, High, Slightly High, Medium, Slightly Low, Low, Very Low or None rather than precise numerical values, allows them to express their opinions independently, and also provides two alternative algorithms to aggregate the assessments of multiple bridge risk factors, one of which offers a rapid assessment and the other one leads to an exact assessment. A case study is investigated using the FGDM approach to illustrate its applications in bridge risk assessment. It is shown that the FGDM approach offers a flexible, practical and effective way of modelling bridge risks.