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Simulating Continuous Fuzzy Systems (Studies in Fuzziness and Soft Computing (188)) by James J. Buckley, Leonard J. Jowers, Buckley, James J is a nonfiction available to read on EtoBox.
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1. 1 Introduction This book is written in two major parts. The ?rst part includes the int- ductory chapters consisting of Chapters 1 through 6. In part two, Chapters 7-26, we present the applications. This book continues our research into simulating fuzzy systems. We started with investigating simulating discrete event fuzzy systems ([7],[13],[14]). These systems can usually be described as queuing networks. Items (transactions) arrive at various points in the s- tem and go into a queue waiting for service. The service stations, preceded by a queue, are connected forming a network of queues and service, until the transaction ?nally exits the system. Examples considered included - chine shops, emergency rooms, project networks, bus routes, etc. Analysis of all of these systems depends on parameters like arrival rates and service rates. These parameters are usually estimated from historical data. These estimators are generally point estimators. The point estimators are put into the model to compute system descriptors like mean time an item spends in the system, or the expected number of transactions leaving the system per unit time. We argued that these point estimators contain uncer
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- Author
- James J. Buckley, Leonard J. Jowers, Buckley, James J
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2006
- Language
- EN
- ISBN
- 9786610427703
- Category
- nonfiction
- Subjects
- Science, Mathematics, Engineering
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