Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming un.pdf
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Theory and Decision Library
Volume 6 1990
Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Table of contents (20 chapters)
- Front Matter
- The Stochastic Approach
- Front Matter
- Overview of Different Approaches for Solving Stochastic Programming Problems with Multiple Objective Functions
- “Strange” : An Interactive Method for Multiobjective Stochastic Linear Programming, and “Strange-Momix” Its Extension to Integer Variables
- Application of “Strange” to Energy Studies
- Multiobjective Stochastic Linear Programming with Incomplete Information: A General Methodology Computation of Efficient Solutions of Stochastic Optimization Problems with Applications to Regression and Scenario Analysis
- The Fuzzy Approach
- Front MatterInteractive Decision Making for Multiobjective Programming Problems with Fuzzy Parameters
- A Possibilistic Approach for Multiobjective Programming Problems. Efficiency of Solutions
- ’FLIP’: An Interactive Method for Multiobjective Linear Programming with Fuzzy Coefficients
- Application of the ’FLIP’ Method to Farm Structure Optimization under Uncertainty
- Fulpal — An Interactive Method for Solving (Multiobjective) Fuzzy Linear Programming Problems
- Multiple Objective Linear Programming Problems in the Presence of Fuzzy Coefficients
- Inequality Constraints between Fuzzy Numbers and Their Use in Mathematical Programming
- Using Fuzzy Logic with Linguistic Quantifiers in Multiobjective Decision Making and Optimization: A Step Towards More Human-Consistent Models
- Stochastic Versus Fuzzy Approaches and Related Issues
- Back Matter
Pages 419-426


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