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Algorithms 2012, 5(2), 304-317; doi:10.3390/a5020304

An Agent-Based Fuzzy Collaborative Intelligence Approach for Predicting the Price of a Dynamic Random Access Memory (DRAM) Product

Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, 407 Taiwan
Received: 9 April 2012 / Revised: 7 May 2012 / Accepted: 9 May 2012 / Published: 24 May 2012
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Abstract

Predicting the price of a dynamic random access memory (DRAM) product is a critical task to the manufacturer. However, it is not easy to contend with the uncertainty of the price. In order to effectively predict the price of a DRAM product, an agent-based fuzzy collaborative intelligence approach is proposed in this study. In the agent-based fuzzy collaborative intelligence approach, each agent uses a fuzzy neural network to predict the DRAM price based on its view. The agent then communicates its view and forecasting results to other agents with the aid of an automatic collaboration mechanism. According to the experimental results, the overall performance was improved through the agents’ collaboration. View Full-Text
Keywords: fuzzy collaborative intelligence; dynamic random access memory; prediction; agent; price fuzzy collaborative intelligence; dynamic random access memory; prediction; agent; price
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Chen, T. An Agent-Based Fuzzy Collaborative Intelligence Approach for Predicting the Price of a Dynamic Random Access Memory (DRAM) Product. Algorithms 2012, 5, 304-317.

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