Abstract
In this study, an intelligent fuzzy 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. 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.
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Gholamian, M. R., Fatemi Ghomi, S. M. T., & Ghazanfari, M. (2005). A fuzzy system for multiobjective problems. In Artificial Intelligence Applications and Innovations - IFIP TC12 WG12.5 - 2nd IFIP Conference on Artificial Intelligence Applications and Innovations, AIAI 2005 (pp. 1–13). Springer Science and Business Media, LLC. https://doi.org/10.1007/0-387-29295-0_1
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