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Fuzzy probabilities for web planning
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AI
DOI：10.1007/s00500-003-0305-z.png)
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摘要
En 中文
We apply our new approach to modeling uncertain probabilities to queuing theory and the optimal design of web servers. This involves using fuzzy, finite, regular Markov chains to determine the fuzzy steady state probabilities and then computing the fuzzy numbers for system performance. We first ignore revenues and costs in determining an optimal system and then we incorporate these factors for optimal design. Then we add two new phenomena associated with the web in our optimization models: burstiness and long tailed distributions.
Keyword:
fuzzy probabilities
queuing theory
web design
optimization
