Technological advances and economic turmoil are some of the factors leading to increased competition in a global scale, which led companies, industries and countries to be concerned to maintain a leadership position in the market for competitive advantage. One way to achieve this goal is to make use of computer technologies to facilitate and accelerate decision-making in these environments of uncertainty. This work aims to show the use of a hybrid approach of Artificial Neural Networks and Fuzzy Logic, an Adaptive Neuro-Fuzzy system, to supply chain competitiveness evaluation. To validate the method is used a case of study based on the supply chain of broilers in Brazil. The results were satisfactory considering the low errors obtained in the validation tests. © 2012 Springer-Verlag.
CITATION STYLE
De Jesus Do Carmo Corrêa, S., & Da Silveira, A. M. (2012). Computational intelligence applied to competitiveness evaluation of supply chains: An adaptive neuro-fuzzy model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7435 LNCS, pp. 658–669). https://doi.org/10.1007/978-3-642-32639-4_79
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