Monte Carlo Methods in Fuzzy Optimization
This book is a concise and readable introduction to Monte Carlo methods to find good approximate solutions to fuzzy optimization problems. Various basic applications and illustrative examples are presented in an understandable way. The aim of the book is to convince the reader that Monte Carlo metho...
Κύριοι συγγραφείς: | Buckley, James J. (Συγγραφέας), Jowers, Leonard J. (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
Σειρά: | Studies in Fuzziness and Soft Computing,
222 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Simulating Fuzzy Systems
ανά: Buckley, James J.
Έκδοση: (2005) -
Simulating Continuous Fuzzy Systems
ανά: Buckley, James J., κ.ά.
Έκδοση: (2006) -
Fuzzy Probability and Statistics
ανά: Buckley, James J.
Έκδοση: (2006) -
Optimal Models and Methods with Fuzzy Quantities
ανά: Cao, Bing-Yuan
Έκδοση: (2010) -
Fuzzy Optimization Recent Advances and Applications /
Έκδοση: (2010)