Interval Methods and Fuzzy Optimization

Weldon A. Lodwick, K. David Jamison

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · 1997 · 34 citations · 3 references

Concepts

Abstract

In this paper, we describe interval-based methods for solving constrained fuzzy optimization problems. The class of fuzzy functions we consider for the optimization problems is the set of real-valued functions where one or more parameters/coefficients are fuzzy numbers. The focus of this research is to explore some relationships between fuzzy set theory and interval analysis as it relates to optimization problems.

References

3