Multi-Objective Stochastic Programming in Fuzzy Environments

Multi-Objective Stochastic Programming in Fuzzy Environments
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Book Description
It is frequently observed that most decision-making problems involve several objectives, and the aim of the decision makers is to find the best decision by fulfilling the aspiration levels of all the objectives. Multi-objective decision making is especially suitable for the design and planning steps and allows a decision maker to achieve the optimal or aspired goals by considering the various interactions of the given constraints.
Multi-Objective Stochastic Programming in Fuzzy Environments discusses optimization problems with fuzzy random variables following several types of probability distributions and different types of fuzzy numbers with different defuzzification processes in probabilistic situations. The content within this publication examines such topics as waste management, agricultural systems, and fuzzy set theory. It is designed for academicians, researchers, and students.

Content

Section 1 - Methodological Developments
Chapter 1. Introduction and Historical Background
Chapter 2. Fundamental Concepts
Chapter 3. Fuzzy Linear Multi-Objective Stochastic Programming Models
Chapter 4. Development of Fuzzy Multi-Objective Stochastic Fractional Programming Models
Chapter 5. Methodology for Solving Multi-Objective Quadratic Programming Problems in a Fuzzy Stochastic Environment 
Chapter 6. Fully Fuzzified Multi-Objective Stochastic Programming
Chapter 7. Fuzzy Multi-Objective Programming With Joint Probability Distribution 

Section 2 - Applications
Chapter 8. Fuzzy Multi-Objective Stochastic Models for Municipal Solid Waste Management 
Chapter 9. On Solving Fuzzy Multi-Objective Multi-Choice Stochastic Transportation Problems 
Chapter 10. A Fuzzy Multi-Objective Stochastic Programming Model for Allocation of Lands in Agricultural Systems

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