Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Ant algorithms for discrete optimization
Artificial Life
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
High-level synthesis by dynamic ant
International Journal of Intelligent Systems - Intelligent Technologies
Ant colony optimization of clustering models: Research Articles
International Journal of Intelligent Systems
Wasp swarm optimization of the c-means clustering model
International Journal of Intelligent Systems
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Supplier selection is one of the critical components of supply chain management and has played a very important role to improve the competitiveness of the entire supply chain. Successful supplier selection may have significant business implications, while how to determine the suitable suppliers is a complex decision making problem which includes both qualitative and quantitative factors. Therefore, this paper proposes a novel approach that combines the fuzzy c-means (FCM) algorithm with ant colony optimization (ACO) algorithm to cluster suppliers into manageable smaller groups with similar characteristics. The simulation results show that the proposed method improves the performance of FCM algorithm for it is less sensitive to local extreme.