Measuring the performance of FCM versus PSO for fuzzy clustering problems
| Autor: | Hamid Reza Jafari, Mohammad Reza Soltani, Amir Reza Soltani |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Fuzzy clustering
lcsh:T55.4-60.8 Computer science Cellular manufacturing MathematicsofComputing_NUMERICALANALYSIS Machine learning computer.software_genre Industrial and Manufacturing Engineering lcsh:Industrial engineering. Management engineering Xie-Beni lcsh:Production management. Operations management Cluster analysis Metaheuristic FCM business.industry Heuristic Design of experiments PSO Anova test Particle swarm optimization ComputingMethodologies_PATTERNRECOGNITION Data mining Artificial intelligence lcsh:TS155-194 business computer |
| Zdroj: | International Journal of Industrial Engineering Computations, Vol 4, Iss 3, Pp 387-392 (2013) |
| ISSN: | 1923-2934 1923-2926 |
| DOI: | 10.5267/j.ijiec.2013.03.005 |
| Popis: | Article history: Received January 8 2013 Received in revised format March 5 2013 Accepted March 14 2013 Available online March 15 2013 Clustering cellular manufacturing plays an important role in many industrial engineering problems. This paper investigates the performance of two methods of heuristic and metaheuristics fuzzy clustering. The proposed method investigates heuristic well-known FCM and particle swarm optimization (PSO) on some well-known benchmarks. We use two criteria of J(P) as well as Xie-Beni to compare the results. Three parameters of PSO method is tuned using design of experiment and then the results of PSO are compared versus FCM method in terms of two mentioned criteria. The proposed models are run for each instance 10 different times and, using ANOVA test, the means of two methods are compared. While the results of ANOVA do not indicate any meaningful difference between PSO and FCM in terms of J(P), we have found some meaningful differences between PSO and FCM in terms of Xie-Beni criterion. In other words, PSO performs better than FCM in terms of Xie-Beni. © 2013 Growing Science Ltd. All rights reserved |
| Databáze: | OpenAIRE |
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