An MAGDM method for design concept evaluation based on incomplete information
Design concept evaluation is a huge challenge in the R&D stage of new product development. The information in the assessments often depends on the decision-makers’ individual preferences. However, sometimes the decision-makers cannot give precise and complete information because it is very diffi...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683631/?tool=EBI |
| _version_ | 1811321978120830976 |
|---|---|
| author | Zhe Chen Zhao Pan Qing Ma Tingting Hou Peng Zhao |
| author_facet | Zhe Chen Zhao Pan Qing Ma Tingting Hou Peng Zhao |
| author_sort | Zhe Chen |
| collection | DOAJ |
| description | Design concept evaluation is a huge challenge in the R&D stage of new product development. The information in the assessments often depends on the decision-makers’ individual preferences. However, sometimes the decision-makers cannot give precise and complete information because it is very difficult for them to be familiar with all the criteria. In this situation, an incomplete information decision-making matrix is established. In this paper, decision-making methods based on incomplete information are compared in the literature review. Incomplete information determination method using trust mechanism is proved as a proper way to solve this problem, and the missing information are computed based on the alternatives However, in design concept evaluation, experts commonly provide their preferences using linguistic words according to the different attributes. Hence, we propose a three-step Multiple Attributes Group Decision-making (MAGDM) method where the missing value are determined by attributes. In step one, a data repairing method is proposed based on trust theory. After that, in step two, a comprehensive weight determination method combining AHP and entropy is proposed to obtain the weight of index attributes. Finally, the Rough-TOPSIS method is applied in the design scheme ranking step. In the case study, the proposed method is implemented in a tourism product design process to show its effectiveness. |
| first_indexed | 2024-04-13T13:27:03Z |
| format | Article |
| id | doaj.art-6b5b1dfae5df4a97b376ad8995dacc0f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T13:27:03Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-6b5b1dfae5df4a97b376ad8995dacc0f2022-12-22T02:45:04ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011711An MAGDM method for design concept evaluation based on incomplete informationZhe ChenZhao PanQing MaTingting HouPeng ZhaoDesign concept evaluation is a huge challenge in the R&D stage of new product development. The information in the assessments often depends on the decision-makers’ individual preferences. However, sometimes the decision-makers cannot give precise and complete information because it is very difficult for them to be familiar with all the criteria. In this situation, an incomplete information decision-making matrix is established. In this paper, decision-making methods based on incomplete information are compared in the literature review. Incomplete information determination method using trust mechanism is proved as a proper way to solve this problem, and the missing information are computed based on the alternatives However, in design concept evaluation, experts commonly provide their preferences using linguistic words according to the different attributes. Hence, we propose a three-step Multiple Attributes Group Decision-making (MAGDM) method where the missing value are determined by attributes. In step one, a data repairing method is proposed based on trust theory. After that, in step two, a comprehensive weight determination method combining AHP and entropy is proposed to obtain the weight of index attributes. Finally, the Rough-TOPSIS method is applied in the design scheme ranking step. In the case study, the proposed method is implemented in a tourism product design process to show its effectiveness.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683631/?tool=EBI |
| spellingShingle | Zhe Chen Zhao Pan Qing Ma Tingting Hou Peng Zhao An MAGDM method for design concept evaluation based on incomplete information PLoS ONE |
| title | An MAGDM method for design concept evaluation based on incomplete information |
| title_full | An MAGDM method for design concept evaluation based on incomplete information |
| title_fullStr | An MAGDM method for design concept evaluation based on incomplete information |
| title_full_unstemmed | An MAGDM method for design concept evaluation based on incomplete information |
| title_short | An MAGDM method for design concept evaluation based on incomplete information |
| title_sort | magdm method for design concept evaluation based on incomplete information |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683631/?tool=EBI |
| work_keys_str_mv | AT zhechen anmagdmmethodfordesignconceptevaluationbasedonincompleteinformation AT zhaopan anmagdmmethodfordesignconceptevaluationbasedonincompleteinformation AT qingma anmagdmmethodfordesignconceptevaluationbasedonincompleteinformation AT tingtinghou anmagdmmethodfordesignconceptevaluationbasedonincompleteinformation AT pengzhao anmagdmmethodfordesignconceptevaluationbasedonincompleteinformation AT zhechen magdmmethodfordesignconceptevaluationbasedonincompleteinformation AT zhaopan magdmmethodfordesignconceptevaluationbasedonincompleteinformation AT qingma magdmmethodfordesignconceptevaluationbasedonincompleteinformation AT tingtinghou magdmmethodfordesignconceptevaluationbasedonincompleteinformation AT pengzhao magdmmethodfordesignconceptevaluationbasedonincompleteinformation |