編修英文 (Copyediting Skills)

[ Exercise 13 ]

  1. Conventional approaches explain this phenomenon and provide alternative strategies to solve the problem.
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  2. Their approach converts fuzzy data into crisp scores and determines the ranking order of alternatives.
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  3. Crisp scores are assigned to the selected conversion scale (fuzzy number) to apply a fuzzy scoring method and normalize the scores.
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  4. The project concentrates mainly on reducing the dependence between the sample mean and the sample standard deviation and developing an efficient procedure capable of attaining the minimum quality loss.
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  5. The standard procedure is for all intents and purposes inefficient, impractical, and problematic.
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  6. Ullman [1989] not only used the Analysis of Means (ANOM) to study the mean response, but also further extended the ANOM to analyze dispersion effects.
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  7. The Taguchi Method deals with a one-dimensional problem and TOPSIS handles multi-dimensional problems.
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  8. The calculations are performed either to get a revised least squares fit or to estimate expected failure times for the censored values.
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  9. The proposed optimization procedure is made of the following steps:
    Step 1: Transform the relative importance of each response into a fuzzy number.
    Step 2: Assign crisp scores to the selected conversion scale.
    Step 3: Compute the quality loss.
    Step 4: Determine the TOPSIS value for each trial.
    Step 5: Determine the optimal factor/level combination.
    Step 6: Conduct the confirmation experiment.
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  10. Wee [11] further extended the conventional model to allow for shortages and assumed that the demand rate would decrease exponentially.
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  11. The relative closeness computed in TOPSIS can be used to assess the performance measurement and optimize multi-response problems in the Taguchi method.
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  12. The experiment determined how process parameters affect the silicon nitride deposition process and, in doing so, satisfied the industrial requirements.
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