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 (Worse) Introduction of the MRSN ratio is possible by integration of the quality loss for all responses.  (Better) Integrating the quality loss for.

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Presentation on theme: " (Worse) Introduction of the MRSN ratio is possible by integration of the quality loss for all responses.  (Better) Integrating the quality loss for."— Presentation transcript:

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2  (Worse) Introduction of the MRSN ratio is possible by integration of the quality loss for all responses.  (Better) Integrating the quality loss for all responses can introduce the MRSN ratio.

3  (Worse) Optimization of multi-response problems in the Taguchi method is achieved in this work by the procedure proposed herein.  (Better) This work proposes a procedure to optimize multi-response problems in the Taguchi method.

4  To increase word variety in a sentence, presents and occasionally describes can be used instead of always saying proposes when the Chinese meaning is 提出.

5  (Worse) Dissemination of imprecise information can not be effectively done by conventional MADM methods.  (Better) The classical MADM methods can not effectively disseminate imprecise information.

6  Depending on the sentence‘s context,precise/imprecise and accurate/ inaccurate can be used as alternatives to correct/incorrect when the Chinese meaning is 正確 / 不正確

7  (Worse) Constraints on fuzzy MAD M approaches are imposed by cumbersome computation.  (Better) Cumbersome computation constrains fuzzy MADM approaches.

8  To increase word variety in a sentence, cumbersome and complex can be used as alternatives to complicated when the Chinese meaning is 複雜.

9  (Worse) Conversion of fuzzy data into crisp scores is achieved in the first phase.  (Better) The first phase converts fuzzy data into crisp scores.

10  (Worse) The fact that the attributes must be numerical and comparable is stipulated by TOPSIS.  (Better) TOPSIS stipulates that the attributes must be numerical and comparable.

11  (Worse) The relative closeness computed in TOPSIS can be used as a performance assessment of multi-response problems in the Taguchi method.  (Better) The relative closeness computed in TOPSIS can assess the performance of multi- response problems in the Taguchi method.

12  (Worse) Measurement of each response must be carefully made by the standard.  (Better) The standard must carefully measure each response.

13  (Worse) Systematic optimization of the scheme is the focus of this section.  (Better) This section focuses on systematically optimizing the scheme

14  (Worse) Determination from the experience of an engineer shows how pressure is affected by time.  (Better) An engineer's experience determines how time affects pressure.

15  (Worse) Further analysis of the facility is necessary for the practitioner to make an adjustment of the parameter settings.  (Better) The practitioner must further analyze the facility to adjust the parameter settings.

16  (Worse) Minimization of A and B levels can be achieved by setting factors A and B at A2.  (Better) Setting factors A and B at A2 can minimize A and B levels.


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