Mastering the CRITIC Method: Step-by-Step Guide to Weight Determination
This article explains the CRITIC (Criteria Importance Through Inter‑criteria Correlation) method, detailing its use of standard deviation and inter‑criterion correlation to compute criterion weights through a clear three‑step evaluation process with references to scholarly applications.
1 CRITIC Method
The Criteria Importance Through Inter‑criteria Correlation (CRITIC) method uses each criterion's standard deviation and the inter‑criterion correlation to assess relative importance and determine weights.
2 Evaluation Process
The following steps outline the application of the CRITIC method.
Step 1: Construct the data matrix, which records the performance of each alternative under each criterion.
Step 2: Perform normalization using range (min‑max) normalization.
Step 3: Determine the weights. The weight of a criterion considers both its standard deviation and its correlation with other criteria, giving higher weight to criteria with large dispersion and low correlation.
The resulting weight reflects the amount of information a criterion provides; a larger value indicates greater relative importance for the decision problem.
References
HYBRID APPROACH CRITIC‑TOPSIS FOR CLOUD SERVICE SELECTION
Adalı, Esra Aytaç. "CRITIC and MAUT methods for the contract manufacturer selection problem." European Journal of Multidisciplinary Studies 2.5 (2017): 93‑101.
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