An agent-based fuzzy collaborative intelligence approach for predicting the price of a dynamic random access memory (DRAM) product

Tin-Chih Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)304-317
Number of pages14
JournalAlgorithms
Volume5
Issue number2
DOIs
StatePublished - 1 Jun 2012

Keywords

  • Agent
  • Dynamic random access memory
  • Fuzzy collaborative intelligence
  • Prediction
  • Price

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