The fuzzy technique is used in this chapter to study the fuzzy multi-objective quadratic transportation problem (FMQTP). In addition, we look at the challenges associated with interval quadratic programming, where the cost coefficients, constraint coefficients, and interval data representations are on the right. Additionally, we construct a set of two-level models for mathematical programming used as the foundation for determining the upper and lower limits of the objective values.

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Multi-objective Fuzzy Random Quadratic Transportation Problem

  • P. Anukokila,
  • B. Radhakrishnan

摘要

The fuzzy technique is used in this chapter to study the fuzzy multi-objective quadratic transportation problem (FMQTP). In addition, we look at the challenges associated with interval quadratic programming, where the cost coefficients, constraint coefficients, and interval data representations are on the right. Additionally, we construct a set of two-level models for mathematical programming used as the foundation for determining the upper and lower limits of the objective values.