Mathematics Project Abstract
FUZZY APPROACH TO MULTI-VARIABLE OPTIMIZATION
Presenter:
Grace R. Woo, Illinois Mathematics and Science Academy, 1500 West Sullivan Road, Aurora, IL 60506; gracew@imsa.edu
Mentor:
Peng-Yung Woo, Northern Illinois University, Electrical Engineering, Anne Glidden Road, DeKalb, IL 60115
Abstract:
Although calculus has traditionally been proven effective for many single-variable optimization problems in science and engineering, the multi-constraint problem has been known to give difficulty in context of a worldly impediment. Fuzzy logic has already been proven a practical and probable approach in the single-variable situation. This paper presents further possibilities with fuzzy logic to multi-variable optimization problems that are difficult for the conventional calculus method.