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The materials are then ranked by employing the Analytical Hierarchy Process and Techniques for Order Preference by Similarity to Ideal Solutions.
Multi objective optimization was done through Grey Relational Analysis (GRA) and Techniques for Order Preferences by Similarity to Ideal Solution (TOPSIS).
The Pareto optimal frontier was obtained and a final optimal solution was also selected by using various multi-criteria decision making methods including techniques for Order of Preference by Similarity to Ideal Solution and Simple Additive Weighting.
Fuzzy Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) have been well documented in the literature and commonly used in the process of group decision-making under fuzzy environment.
After the adaptation, case evaluation is then performed on them based on techniques for order preference by similarity of ideal solution (TOPSIS) algorithm and hence a concurrent design solution of low power transformers can be obtained.
This study presents a hybrid MCDM method combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA) techniques.
Similar(54)
Techniques for ordering the test cases may be required to support test case selection, for instance, to address constrained costs of running and analyzing the complete test suite and to improve the rate of failure detection.
Technique for order preference.
Technique for order preference by similarity to ideal solution.
Technique for Order of Preference by Similarity to Ideal Solution.
The technique for order preference is adapted from the TOPSIS algorithm that is presented in [27].
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