Learning FCM by Data Mining in a Purchase System
Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Sim...
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Iran University of Science & Technology
2009-05-01
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doaj-078e6b1536074b6bb8047cc7458f4a5f2020-11-24T23:11:22ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2009-05-012011120Learning FCM by Data Mining in a Purchase System012 Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrated via real data of a purchase system in order to simulate the system’s behavior.http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-43&slc_lang=en&sid=1Fuzzy Cognitive Map (FCM); Learning; System Dynamics (SD); Data Mining. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
title |
Learning FCM by Data Mining in a Purchase System |
spellingShingle |
Learning FCM by Data Mining in a Purchase System International Journal of Industrial Engineering and Production Research Fuzzy Cognitive Map (FCM); Learning; System Dynamics (SD); Data Mining. |
title_short |
Learning FCM by Data Mining in a Purchase System |
title_full |
Learning FCM by Data Mining in a Purchase System |
title_fullStr |
Learning FCM by Data Mining in a Purchase System |
title_full_unstemmed |
Learning FCM by Data Mining in a Purchase System |
title_sort |
learning fcm by data mining in a purchase system |
publisher |
Iran University of Science & Technology |
series |
International Journal of Industrial Engineering and Production Research |
issn |
2008-4889 2345-363X |
publishDate |
2009-05-01 |
description |
Fuzzy Cognitive Maps (FCMs) have successfully been applied in numerous domains to show the relations between essential components in complex systems. In this paper, a novel learning method is proposed to construct FCMs based on historical data and by using meta-heuristic: Genetic Algorithm (GA), Simulated Annealing (SA), and Tabu Search (TS). Implementation of the proposed method has demonstrated via real data of a purchase system in order to simulate the system’s behavior. |
topic |
Fuzzy Cognitive Map (FCM); Learning; System Dynamics (SD); Data Mining. |
url |
http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-1-43&slc_lang=en&sid=1 |
_version_ |
1725604748780896256 |