Compares weighted sums, achievement scalarizing functions, desirability functions, and a fuzzy-logic formulation on convex and concave analytical Pareto fronts for bi-criteria minimization, focusing on reachable regions and preference handling.
Comparing Scalar Objective Functions for Multi-Criteria Engineering Optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Comparing Scalar Objective Functions for Multi-Criteria Engineering Optimization
Compares weighted sums, achievement scalarizing functions, desirability functions, and a fuzzy-logic formulation on convex and concave analytical Pareto fronts for bi-criteria minimization, focusing on reachable regions and preference handling.