Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
A note on the fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Weapon selection using the AHP and TOPSIS methods under fuzzy environment
Expert Systems with Applications: An International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
Expert Systems with Applications: An International Journal
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Fuzzy least-squares priority method in the analytic hierarchy process
Fuzzy Sets and Systems
Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
Calibrated fuzzy AHP for current bank account selection
Expert Systems with Applications: An International Journal
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Spread mooring systems are associated with high level uncertainties and risks during tanker loading/unloading operations. In addition, the design of such complex systems consists of many subjective and imprecise parameters. Therefore, in the present study, a fuzzy based decision support methodology is designed to overcome aforementioned characteristics. The fuzzy methodology incorporates qualitative and partially known information into the decision support model and provides a robust mathematical framework for modeling of the spread mooring systems. Proposed model is based on the analytic hierarchy method (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) methods in a fuzzy environment where the vagueness and subjectivity are handled with linguistic and fuzzy values. The fuzzy AHP method is used to analyze the structure of the mooring system selection problem and determine the weights of the attributes while fuzzy TOPSIS method is employed for ranking the spread mooring systems. The case study demonstrates the effectiveness and feasibility of the proposed methodology.