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Generalized Concavity in Fuzzy Optimization and Decision Analysis

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, Vlach, Milan (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 2002, 2002
Edition:1st ed. 2002
Series:International Series in Operations Research & Management Science
Subjects:
Operations Research
Optimization
Mathematical Logic
Convex Geometry 
Calculus Of Variations And Optimization
Convex And Discrete Geometry
Mathematical Logic And Foundations
Discrete Geometry
Mathematical Optimization
Operations Research And Decision Theory
Calculus Of Variations
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • I Theory
  • 1. Preliminaries
  • 2. Generalized Convex Sets
  • 3. Generalized Concave Functions
  • 4. Triangular Norms and T-Quasiconcave Functions
  • 5. Aggregation Operators
  • 6. Fuzzy Sets
  • II Applications
  • 7. Fuzzy Multi-Criteria Decision Making
  • 8. Fuzzy Mathematical Programming
  • 9. Fuzzy Linear Programming
  • 10. Fuzzy Sequencing and Scheduling

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