Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy engineering
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
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Intelligent Hybrid Systems
Fuzzy Sets, Neural Networks and Soft Computing
Fuzzy Sets, Neural Networks and Soft Computing
Fuzzy Theory Systems: Techniques and Applications
Fuzzy Theory Systems: Techniques and Applications
Multilayer perceptron for nonlinear programming
Computers and Operations Research
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
Performance evaluation of acceptance probability functions for multi-objective SA
Computers and Operations Research
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
A hybrid intelligent system for multiobjective decision making problems
Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
A hybrid systematic design for multiobjective market problems: a case study in crude oil markets
Engineering Applications of Artificial Intelligence
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Comparative analysis of fuzzy ART and ART-2A network clustering performance
IEEE Transactions on Neural Networks
Multi-objective rule mining using a chaotic particle swarm optimization algorithm
Knowledge-Based Systems
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In attempt to solve multiobjective problems, various mathematical and stochastic methods have been developed. The methods operate based on mathematical models while in most cases these models are drastically simplified imagine of real world problems. In this study, a hybrid intelligent system is used instead of mathematical models. The main core of the system is fuzzy rule base which maps decision space (Z) to solution space (X). The system is designed on noninferior region and gives a big picture of this region in the pattern of fuzzy rules. Since some solutions may be infeasible; then specified feedforward neural network is used to obtain noninferior solutions in an exterior movement. In addition, numerical examples of well-known NP-hard problems (i.e. multiobjective traveling salesman problem and multiobjective knapsack problem) are provided to clarify the accuracy of developed system.