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This paper is an application of two recently proposed MCDA techniques and one method of comparison among MCDA techniques. The two MCDA techniques as applied are TWECM (Technique with Essential Characteristics of MCDA Techniques) and an objective method to determine the weights of criteria based on regression. At first, the weight determining method based on regression has been applied to determine the weights of the criteria based on a set of data on a case study. Then, TWECM has been applied on the data to rank the alternatives. The ranks as obtained from TWECM are then compared with three other benchmark MCDA techniques for consistency. These three techniques for comparison have been selected because of their diverse nature in their algorithms along with the fact that these MCDA techniques are benchmark techniques. The second method of comparison has been applied to find the most suitable MCDA technique among the four applied MCDA techniques. The results indicate the consistency of the ranking as obtained from TWECM along with its superiority over the other three techniques.

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Applying TWECM and Weight Determination Technique Based on Regression

  • 会议论文

  • 发表日期：

    2025年

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  • Susmita Bandyopadhyay,
  • Mohima Mukherjee,
  • Pintu Das

摘要

This paper is an application of two recently proposed MCDA techniques and one method of comparison among MCDA techniques. The two MCDA techniques as applied are TWECM (Technique with Essential Characteristics of MCDA Techniques) and an objective method to determine the weights of criteria based on regression. At first, the weight determining method based on regression has been applied to determine the weights of the criteria based on a set of data on a case study. Then, TWECM has been applied on the data to rank the alternatives. The ranks as obtained from TWECM are then compared with three other benchmark MCDA techniques for consistency. These three techniques for comparison have been selected because of their diverse nature in their algorithms along with the fact that these MCDA techniques are benchmark techniques. The second method of comparison has been applied to find the most suitable MCDA technique among the four applied MCDA techniques. The results indicate the consistency of the ranking as obtained from TWECM along with its superiority over the other three techniques.