Fuzzy Probabilities and Fuzzy Sets for Web Planning

• Κύριος συγγραφέας: Buckley, James J. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
• Έκδοση: 1st ed. 2004.
• Σειρά: Studies in Fuzziness and Soft Computing, 135
• Θέματα: Applied mathematics.; Engineering mathematics.; Computer science.; Computer communication systems.; Application software.; Applications of Mathematics.; Science, Humanities and Social Sciences, multidisciplinary.; Popular Computer Science.; Mathematical and Computational Engineering.; Computer Communication Networks.; Information Systems Applications (incl. Internet).

This book presents important applications of soft computing and fuzziness to the growing field of web planning. A new method of using fuzzy numbers to model uncertain probabilities and how these can be used to model a fuzzy queuing system is demonstrated, as well as a method of modeling fuzzy queuin...

Πίνακας περιεχομένων:

• 1 Introduction
• 1.1 Introduction
• 1.2 Fuzzy Probabilities
• 1.3 Fuzzy Arrival/Service Rates
• 1.4 Optimization Models
• 1.5 Notation
• 1.6 References
• 2 Fuzzy Sets
• 2.1 Introduction
• 2.2 Fuzzy Sets
• 2.3 Fuzzy Arithmetic
• 2.4 Fuzzy Functions
• 2.5 Finding the Min/Max of a Fuzzy Number
• 2.6 Ordering/Ranking Fuzzy Numbers
• 2.7 References
• 3 Fuzzy Probabilities/Arrival Rates
• 3.1 Introduction
• 3.2 Fuzzy Probabilities from Confidence Intervals
• 3.3 Fuzzy Arrival/Service Rates
• 3.4 Fuzzy Numbers from Expert Opinion
• 3.5 Restricted Fuzzy Arithmetic
• 3.6 Computations
• 3.7 Figures
• 3.8 References
• 4 Fuzzy Markov Chains
• 4.1 Introduction
• 4.2 Fuzzy Regular Markov Chains
• 4.3 Fuzzy Absorbing Markov Chains
• 4.4 Other Fuzzy Markov Chains
• 4.5 References
• 5 Fuzzy Queuing Theory
• 5.1 Introduction
• 5.2 Queuing Theory
• 5.3 Fuzzy Queuing Theory
• 6 Computations: One Sever
• 6.1 Introduction
• 6.2 Calculations
• 6.3 References
• 7 Example: One Sever
• 7.1 Introduction
• 7.2 Computations
• 7.3 References
• 8 Computations: Two Servers
• 8.1 Introduction
• 8.2 Calculations
• 9 Example: Two Servers
• 9.1 Introduction
• 9.2 Computations
• 9.3 References
• 10 Computations: Three or More Servers
• 10.1 References
• 11 Fuzzy Arrival/Service Rates
• 11.1 Introduction
• 11.2 Fuzzy Steady State Probabilities
• 11.3 Fuzzy System Parameters
• 11.4 References
• 12 Example: Fuzzy Arrival/Service Rates
• 12.1 Introduction
• 12.2 One Server
• 12.3 Two Servers
• 12.4 Three or More Servers
• 12.5 References
• 13 Optimization: Without Revenue/Costs
• 13.1 Introduction
• 13.2 Fuzzy Probabilities
• 13.3 Fuzzy Arrival/Service Rates
• 13.4 References
• 14 Optimization: With Revenue/Costs
• 14.1 Introduction
• 14.2 Fuzzy Probabilities
• 14.3 Fuzzy Arrival/Service Rates
• 14.4 References
• 15 Burstiness
• 15.1 Introduction
• 15.2 Fuzzy Probabilities
• 15.3 Fuzzy Arrival/Service Rates
• 15.4 References
• 16 Long Tailed Distributions
• 16.1 Introduction
• 16.2 Fuzzy Probabilities
• 16.3 Fuzzy Arrival/Service Rates
• 16.4 References
• 17 Putting It All Together
• 17.1 Introduction
• 17.2 Fuzzy Probabilities
• 17.3 Fuzzy Arrival/Service Rates
• 18 Summary and Future Research
• 18.1 Introduction
• 18.2 Fuzzy Probabilities
• 18.3 Fuzzy arrival/Service Rate
• 18.4 Future Research
• 18.5 References
• 19 Computational Algorithms
• 19.1 Introduction
• 19.2 Computations: Fuzzy Probabilities
• 19.3 Computations: Fuzzy Arrivals and Service Rates
• 19.4 References
• List of Figures
• List of Tables.