Abstract
In this chapter we develop a method to solve unconstrained and constrained fuzzy optimization problems for a class of fuzzy functions. The class of fuzzy functions we consider for the optimization problems is the set of real-valued functions where one or more parameters/coefficients are fuzzy numbers. The focus of this research is to explore some theoretical results that lead to a practical computational method to solve fuzzy optimization problems.
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Lodwick, W.A., Jamison, K.D. (1998). A Computational Method for Fuzzy Optimization. In: Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach . International Series in Intelligent Technologies, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5473-8_19
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DOI: https://doi.org/10.1007/978-1-4615-5473-8_19
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