Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Combination of fuzzy numbers representing expert opinions
Fuzzy Sets and Systems
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.)
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Evolutionary computing in manufacturing industry: an overview of recent applications
Applied Soft Computing
Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
A fuzzy-based military officer performance appraisal system
Applied Soft Computing
Computers and Operations Research
Fuzzy aggregation and averaging for group decision making: A generalization and survey
Knowledge-Based Systems
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Expert Systems with Applications: An International Journal
Benchmarking main activation functions in fuzzy cognitive maps
Expert Systems with Applications: An International Journal
Selecting the most preferable alternatives in a group decision making problem using DEA
Expert Systems with Applications: An International Journal
Aggregating preference ranking with fuzzy Data Envelopment Analysis
Knowledge-Based Systems
A genetic algorithm for maximum-weighted tree matching problem
Applied Soft Computing
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This paper focuses on developing a new multiple criteria decision-making (MCDM) methodology for subdivision arrangement of Ro-Ro vessels, which integrates the multi-objective optimisation with a fuzzy multi-attributive group decision-making (FMAGDM) technique. The study concentrates on the task of finding and then evaluating (or ranking) the finite number of pareto-optimal design alternatives (PODAs). A genetic algorithm based multi-objective optimisation technique, namely MOGA, is employed for optimisation purpose in terms of chosen design parameters such as damage stability, survivability, and cargo capacity. MOGA is the methodology where the solution space is searched for a set of PODAs, from which experts can express their opinions and choose the best PODA. The subjectiveness and imprecision of the ranking process is modelled as linear trapezoidal fuzzy numbers by means of linguistic terms. An attribute based aggregation technique for homogeneous and heterogeneous groups of experts is employed and used for dealing with the fuzzy opinion aggregation. Finally, a real case study on the subdivision arrangement of a Ro-Ro vessel is conducted to illustrate the effectiveness of the approach.