A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments
Design concept evaluation in the early phase of product design plays a crucial role in new product development as it considerably determines the direction of subsequent design activities. However, it is a process involving uncertainty and subjectivity. The evaluation information mainly relies on exp...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/155270 |
| _version_ | 1826117990996770816 |
|---|---|
| author | Zhu, Guoniu Hu, Jie Ren, Hongliang |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Zhu, Guoniu Hu, Jie Ren, Hongliang |
| author_sort | Zhu, Guoniu |
| collection | NTU |
| description | Design concept evaluation in the early phase of product design plays a crucial role in new product development as it considerably determines the direction of subsequent design activities. However, it is a process involving uncertainty and subjectivity. The evaluation information mainly relies on expert's subjective judgment, which is imprecise and uncertain. How to effectively and objectively evaluate the design concept under such subjective and uncertain environments remains an open question. To fill this gap, this paper proposes a fuzzy rough number-enhanced group decision-making framework for design concept evaluation by integrating a fuzzy rough number-based AHP (analytic hierarchy process) and a fuzzy rough number-based TOPSIS (technique for order preference by similarity to ideal solution). First of all, a fuzzy rough number is presented to aggregate personal risk assessment information and to manipulate the uncertainty and subjectivity during the decision-making. Then a fuzzy rough number-based AHP is developed to determine the criteria weights. A fuzzy rough number-based TOPSIS is proposed to conduct the alternative ranking. A practical case study is put forward to illustrate the applicability of the proposed decision-making framework. Experimental results and comparative studies demonstrate the superiority of the fuzzy rough number-based method in dealing with the uncertainty and subjectivity in design concept evaluation under group decision-making environment. |
| first_indexed | 2024-10-01T04:36:27Z |
| format | Journal Article |
| id | ntu-10356/155270 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:36:27Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1552702022-03-07T07:56:26Z A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments Zhu, Guoniu Hu, Jie Ren, Hongliang School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Design Concept Evaluation Fuzzy Rough Number Design concept evaluation in the early phase of product design plays a crucial role in new product development as it considerably determines the direction of subsequent design activities. However, it is a process involving uncertainty and subjectivity. The evaluation information mainly relies on expert's subjective judgment, which is imprecise and uncertain. How to effectively and objectively evaluate the design concept under such subjective and uncertain environments remains an open question. To fill this gap, this paper proposes a fuzzy rough number-enhanced group decision-making framework for design concept evaluation by integrating a fuzzy rough number-based AHP (analytic hierarchy process) and a fuzzy rough number-based TOPSIS (technique for order preference by similarity to ideal solution). First of all, a fuzzy rough number is presented to aggregate personal risk assessment information and to manipulate the uncertainty and subjectivity during the decision-making. Then a fuzzy rough number-based AHP is developed to determine the criteria weights. A fuzzy rough number-based TOPSIS is proposed to conduct the alternative ranking. A practical case study is put forward to illustrate the applicability of the proposed decision-making framework. Experimental results and comparative studies demonstrate the superiority of the fuzzy rough number-based method in dealing with the uncertainty and subjectivity in design concept evaluation under group decision-making environment. This work is partly supported by the National Natural Science Foundation of China (No. 51775332). 2022-03-07T07:56:26Z 2022-03-07T07:56:26Z 2020 Journal Article Zhu, G., Hu, J. & Ren, H. (2020). A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments. Applied Soft Computing Journal, 91, 106228-. https://dx.doi.org/10.1016/j.asoc.2020.106228 1568-4946 https://hdl.handle.net/10356/155270 10.1016/j.asoc.2020.106228 2-s2.0-85081931366 91 106228 en Applied Soft Computing Journal © 2020 Elsevier B.V. All rights reserved. |
| spellingShingle | Engineering::Mechanical engineering Design Concept Evaluation Fuzzy Rough Number Zhu, Guoniu Hu, Jie Ren, Hongliang A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title | A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title_full | A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title_fullStr | A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title_full_unstemmed | A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title_short | A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environments |
| title_sort | fuzzy rough number based ahp topsis for design concept evaluation under uncertain environments |
| topic | Engineering::Mechanical engineering Design Concept Evaluation Fuzzy Rough Number |
| url | https://hdl.handle.net/10356/155270 |
| work_keys_str_mv | AT zhuguoniu afuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments AT hujie afuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments AT renhongliang afuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments AT zhuguoniu fuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments AT hujie fuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments AT renhongliang fuzzyroughnumberbasedahptopsisfordesignconceptevaluationunderuncertainenvironments |