Optimal solutions in optimization problem with objective function depending on fuzzy parameters
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A method for capturing the entire fuzzy non-dominated set of a fuzzy multi-criteria optimization problem
2015, Fuzzy Sets and SystemsCitation Excerpt :Excellent surveys of developments in fuzzy decision-making problems can be found in [7,27]. For the fuzzy optimization problem, Ramík [42] mentioned that the main problem when dealing with fuzzy MOPs (FMOPs) is that unlike real numbers, fuzzy numbers are not linearly ordered. Thus, obtaining an appropriate comparison of fuzzy-number-valued objective functions with regard to FMOPs is still an important issue.
Brake squeal reduction of vehicle disc brake system with interval parameters by uncertain optimization
2014, Journal of Sound and VibrationCitation Excerpt :In order to improve the performance of the system with uncertainties, the optimization under uncertainty should be carried out during the design process. For the uncertain problems with limited information, several theories for the optimization with non-probabilistic parameters have been proposed for the designs of engineering structures in recent years [27–30]. Thus it is necessary to conduct uncertain optimization for reducing the brake squeal of a real brake system.
Application of fuzzy minimum cost flow problems to network design under uncertainty
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2009, Computer Methods in Applied Mechanics and EngineeringOn identifying fuzzy knees in fuzzy multi-criteria optimization problems
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