Criteria Removal - Sensitivity analysis by sequential criterion exclusion

Overview

Criteria Removal - Sensitivity analysis by sequential criterion exclusion

Output

robustness score, higher is better

Data

Crisp, complete numeric matrix

Size

2+ alternatives, 3-12 criteria works best

Used for

Sensitivity analysis, uncertainty quantification

How it works

1. 1

   Validate inputs for criteria-removal.

   $$\text{Re-run base MCDM with criterion }j\text{ excluded; report }{\rho }_s(\text{base},\text{reduced})$$

   Saltelli 2004, (pending PDF page verification)

Look elsewhere when

Assumptions to verify

• A base ranking method is selected
• Computational budget for repeated runs

Edge cases and pitfalls

• Applying CRITERIA-REMOVAL without verifying this assumption.

  Requirement: A base ranking method is selected

• Applying CRITERIA-REMOVAL without verifying this assumption.

  Requirement: Computational budget for repeated runs

• Using CRITERIA-REMOVAL when: Quick analysis needed → defer robustness check.

  An alternative method is recommended in this situation.

How to cite