The problem of linguistic approximation in clinical decision making
International Journal of Approximate Reasoning
The engineering of knowledge-based systems: theory and practice
The engineering of knowledge-based systems: theory and practice
FUZMAR: an approach to aggregating market research data based on fuzzy reasoning
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Applying fuzzy set theory to evaluate the rate of aggregative risk in software development
Fuzzy Sets and Systems
Using fuzzy numbers in educational grading system
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Approximate Reasoning Models
Multiple-attribute decision making methods for plant layout design problem
Robotics and Computer-Integrated Manufacturing
Decision support for risk analysis on dynamic alliance
Decision Support Systems
Evidential reasoning approach for bridge condition assessment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Conversion of probabilistic information into fuzzy sets for engineering decision analysis
Computers and Structures
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A subjective methodology for safety analysis of safety requirements specifications
IEEE Transactions on Fuzzy Systems
Hi-index | 12.06 |
As sea ports and terminals are valuable assets, in today's uncertain and complex environment further refinements are needed to assess risks and prioritise protective measures for these critical pieces of logistics infrastructure. The major problem that port professionals (e.g. port risk managers and port auditors) are facing is the lack of an appropriate methodology and evaluation techniques to support their risk management (RM) cycle. Therefore in response to the uncertainties and to provide continuous risk control assurance in port industry, this paper uses fuzzy set theory (FST) to describe and evaluate the associated risk factors within the ports and terminals operations and management (PTOM). An evidential reasoning (ER) approach is employed to synthesise the information produced. These processes constitute a decision support framework that will be used to conduct port-to-port risk evaluations or to assess a whole port's and terminal's overall risk level in order to facilitate continuous improvement strategies. The proposed framework along with a generic methodology and a risk evaluation model is tested by a case study. The case study analyses pieces of three Southern Iranian ports by using an illustrative operational risk hierarchy. The sensitivity analysis carried out in this paper prove pieces of the applicability of the proposed methodology and model for risk evaluation of the sea ports and terminals in real situations.