Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A course in fuzzy systems and control
A course in fuzzy systems and control
Neural network technique for fuzzy multiobjective linear programming
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
Interactive multiple objective programming using Tchebycheff programs and artificial neural networks
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
Multiobjective linguistic optimization
Fuzzy Sets and Systems - Special issue on soft decision analysis
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Artificial Intelligence: Structures and Strategies for Complex Problem Solving
Expert Systems: Design and Development
Expert Systems: Design and Development
Fuzzy Sets, Neural Networks and Soft Computing
Fuzzy Sets, Neural Networks and Soft Computing
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
Decision Support Systems and Intelligent Systems (7th Edition)
Decision Support Systems and Intelligent Systems (7th Edition)
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
A hybrid systematic design for multiobjective market problems: a case study in crude oil markets
Engineering Applications of Artificial Intelligence
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
Comparative analysis of fuzzy ART and ART-2A network clustering performance
IEEE Transactions on Neural Networks
A hybrid system for multiobjective problems - A case study in NP-hard problems
Knowledge-Based Systems
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In attempt to solve multiobjective problems, many mathematical and stochastic methods have been developed. The methods operate based on the structured model of the problem. But most of the real-world problems are unstructured or semi-structured in objectives or constraints that caused lag of application of these traditional approaches in such problems. In this paper, a systematic design is introduced for such real multiobjective problems using hybrid intelligent system to cover ill-structured situations. Specially, fuzzy rule bases and neural networks are used in this systematic design and the developed hybrid system is established on noninferior region with the ability of mapping between objective space and solution space. The proof-of-principle results obtained on three test problems suggest that the proposed system can be extended to higher dimensional and more difficult multiobjective problems. A number of suggestions for extensions and application of the system is also discussed.