MOORA Algorithm

The Multi-Objective Optimization by Ratio Analysis (MOORA) method is an objective ranking system that utilizes a ratio system to compare various alternatives against a set of criteria.

1. Normalization (Vector Method):
\[ x_{ij}^* = \frac{x_{ij}}{\sqrt{\sum_{i=1}^{m} x_{ij}^2}} \]
2. Weighted Assessment:
\[ y_i = \sum_{j=1}^{g} w_j x_{ij}^* – \sum_{j=g+1}^{n} w_j x_{ij}^* \] Where \(g\) are benefit criteria and the rest are cost criteria.
3. Final Ranking:
The alternative with the highest \(y_i\) is the best choice.

Solved Example: Factory Site Selection

Selecting the best location based on 4 criteria: Infrastructure (B), Skill Level (B), Land Cost (C), and Distance (C).
Weights: \(w = [0.3, 0.3, 0.2, 0.2]\).

Step 1: Decision Matrix
AltInfra(B)Skill(B)Cost(C)Dist(C)
Site 18710050
Site 2698030
Site 39612040
Site 4789060
Step 2: Normalization Calculation

For Infrastructure: \(\sqrt{8^2+6^2+9^2+7^2} = \sqrt{230} = 15.16\)

Normalized Value (Site 1, Infra): \(8 / 15.16 = 0.527\)

Step 3: Final Solved Assessment (y)

Example for Site 1:
\(y_1 = (0.527 \times 0.3 + 0.463 \times 0.3) – (0.505 \times 0.2 + 0.542 \times 0.2)\)
\(y_1 = 0.297 – 0.209 = \mathbf{0.088}\)

AltBenefit SumCost SumScore (y)Rank
Site 10.2970.2090.0883
Site 20.2980.1730.1251
Site 30.2970.2520.0454
Site 40.2970.2110.0862

Interactive MOORA Calculator

Weights
Type
Alt 1
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Math Tools

Designed by: Dr. M.U. Mirza

Mathematical Researcher & Educator

Machine Learning Fuzzy Sets Computational Math Graph Theory
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