Monte Carlo Methods in Fuzzy Optimization
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- 159٫99 US$
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- 159٫99 US$
وصف الناشر
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 methods can be useful in generating approximate solutions to fuzzy optimization problems.
النوع
كمبيوتر وإنترنت
تاريخ النشر
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٣ ديسمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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م.ب.
Fuzzy Information and Engineering
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Foundations of Fuzzy Logic and Soft Computing
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Concepts of Soft Computing
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The Signed Distance Measure in Fuzzy Statistical Analysis
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Knowledge Processing with Interval and Soft Computing
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Arithmetic Of Z-numbers, The: Theory And Applications
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Theory and Applications of Ordered Fuzzy Numbers
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A Practical Introduction to Fuzzy Logic Using LISP
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Fuzzy Logic and Information Fusion
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Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
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The Book of Dede Korkut and Fuzzy Logic
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Recent Advances on Fuzzy Sets
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