Multi-Objective Stochastic Programming in Fuzzy Environments

Multi-Objective Stochastic Programming in Fuzzy Environments

Animesh Biswas (University of Kalyani, India) and Arnab Kumar De (Government College of Engineering and Textile Technology Serampore, India)
Release Date: March, 2019|Copyright: © 2019 |Pages: 420|DOI: 10.4018/978-1-5225-8301-1
ISBN13: 9781522583011|ISBN10: 1522583017|EISBN13: 9781522583028|ISBN13 Softcover: 9781522592969


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Agricultural Systems
  • Fractional Programming Models
  • Fuzzy Random Variables
  • Fuzzy Set Theory
  • Land Allocation
  • Model Construction
  • Stochastic Programming Model
  • Transportation
  • Variance Model
  • Waste Management

Table of Contents and List of Contributors

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