Generalized Concavity in Fuzzy Optimization and Decision Analysis

Generalized Concavity in Fuzzy Optimization and Decision Analysis by Jaroslav Ramík, Milan Vlach.

Convexity of sets in linear spaces, and concavity and convexity of functions, lie at the root of beautiful theoretical results that are at the same time extremely useful in the analysis and solution of optimization problems, including problems of either single objective or multiple objectives. Not a...

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Bibliographic Details
Main Authors: Ramík, Jaroslav (Author), Vlach, Milan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2002.
Edition:1st ed. 2002.
Series:International Series in Operations Research & Management Science, 41
Springer eBook Collection.
Subjects:
Mathematical optimization.
Mathematical logic.
Calculus of variations.
Convex geometry .
Discrete geometry.
Operations research.
Decision making.
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