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These results were used to develop a lithographic technique for ordering AR surfaces in preprogrammed orientational micropatterns.
The optimal structures were compared together from the crashworthiness point of view by considering two conflicting crashworthiness indicators namely SEA (specific energy absorption) and PCF (peak crush force) using a decision making method called TOPSIS (technique for ordering preferences by similarity to ideal solution).
Finally, Technique for Ordering Preferences by Similarity to Ideal Solution TOPSISS) method is used to find some trade-off optimum design points from all non-dominated optimum design points represented by the Pareto fronts.
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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 by similarity to ideal solution (TOPSIS) is used for ranking these materials.
The optimal solution is then selected using the technique for order of preference by similarity to ideal solution.
Subsequently, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used to evaluate improvement strategies.
Then the best solution is found by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method.
In this work, firstly the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is described.
The approach incorporates Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
Moreover, DR programs are prioritized by using the technique for order preference by similarity to ideal solution method.
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