Abstract
The paper deals with the application of two meta-heuristics for fine tuning of fuzzy logic model. Two meta-heuristics are used to determine the final set of fuzzy rules and the domain of membership functions for airline market share model. The model aims at determining the airline market share on long-haul routes originating from London airport system. For this purpose, the real data was used encompassing several long-haul routes that are characterized by competition between full-service carriers (FSCs) and at least, one low-cost carrier (LCC). The results show that the application of these two meta-heuristics can significantly contribute to improvement in the overall model performance.
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