On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Classification by fuzzy integral: performance and tests
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Identification of &lgr;-fuzzy measure by genetic algorithms
Fuzzy Sets and Systems
Using neural networks to determine Sugeno measures by statistics
Neural Networks
A new type of nonlinear integrals and the computational algorithm
Fuzzy Sets and Systems
Fuzzy Measure Theory
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Identification of fuzzy measures from sample data with genetic algorithms
Computers and Operations Research
A Nonlinear Integral Defined on Partition and its Application to Decision Trees
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Induction of multiple fuzzy decision trees based on rough set technique
Information Sciences: an International Journal
Information Sciences: an International Journal
Choquet integral based aggregation approach to software development risk assessment
Information Sciences: an International Journal
An application of swarm optimization to nonlinear programming
Computers & Mathematics with Applications
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
Computers and Operations Research
Choquet integrals of weighted intuitionistic fuzzy information
Information Sciences: an International Journal
An inequality related to Minkowski type for Sugeno integrals
Information Sciences: an International Journal
A swarm intelligence approach to the quadratic minimum spanning tree problem
Information Sciences: an International Journal
Cellular particle swarm optimization
Information Sciences: an International Journal
Discrete particle swarm optimisation for ontology alignment
Information Sciences: an International Journal
Information Sciences: an International Journal
On typical values and fuzzy integrals
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Dynamic image sequence analysis using fuzzy measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Uncertainty representation using fuzzy measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning nonlinear multiregression networks based on evolutionary computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification by nonlinear integral projections
IEEE Transactions on Fuzzy Systems
Novel swarm optimization for mining classification rules on thyroid gland data
Information Sciences: an International Journal
Complex Structured Decision Making Model: A hierarchical frame work for complex structured data
Information Sciences: an International Journal
An improved (µ+λ)-constrained differential evolution for constrained optimization
Information Sciences: an International Journal
Information Sciences: an International Journal
Credit portfolio management using two-level particle swarm optimization
Information Sciences: an International Journal
Ant intelligence inspired blind data detection for ultra-wideband radar sensors
Information Sciences: an International Journal
Integrating the artificial bee colony and bees algorithm to face constrained optimization problems
Information Sciences: an International Journal
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Fuzzy measures and fuzzy integrals have been successfully used in many real applications. How to determine fuzzy measures is the most difficult problem in these applications. Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms and neural networks, it is hard to say which one is more appropriate and more feasible. Each method has its advantages and limitations. Therefore it is necessary to develop new methods or techniques to learn distinct fuzzy measures. In this paper, we make the first attempt to design a special particle swarm algorithm to determine a type of general fuzzy measures from data, and demonstrate that the algorithm is effective and efficient. Furthermore we extend this algorithm to identify and revise other types of fuzzy measures. To test our algorithms, we compare them with the basic particle swarm algorithms, gradient descent algorithms and genetic algorithms in literatures. In addition, for verifying whether our algorithms are robust in noisy-situations, a number of numerical experiments are conducted. Theoretical analysis and experimental results show that, for determining fuzzy measures, the particle swarm optimization is feasible and has a better performance than the existing genetic algorithms and gradient descent algorithms.