TOPSIS-RTCID for range target-based criteria and interval data
The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria...
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| Format: | Article |
| Language: | English |
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Universitat Politècnica de València
2021-01-01
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| Series: | International Journal of Production Management and Engineering |
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| Online Access: | https://polipapers.upv.es/index.php/IJPME/article/view/13323 |
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| author | A. Jahan M. Yazdani K.L. Edwards |
| author_facet | A. Jahan M. Yazdani K.L. Edwards |
| author_sort | A. Jahan |
| collection | DOAJ |
| description | The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture’s examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence. |
| format | Article |
| id | doaj-art-1bbb206157be4c5c8d85b457f49d581d |
| institution | DOAJ |
| issn | 2340-4876 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Universitat Politècnica de València |
| record_format | Article |
| series | International Journal of Production Management and Engineering |
| spelling | doaj-art-1bbb206157be4c5c8d85b457f49d581d2025-08-20T02:43:59ZengUniversitat Politècnica de ValènciaInternational Journal of Production Management and Engineering2340-48762021-01-019111410.4995/ijpme.2021.133238444TOPSIS-RTCID for range target-based criteria and interval dataA. Jahan0M. Yazdani1K.L. Edwards2Islamic Azad UniversityESIC Business & Marketing SchoolInstitution of Engineering DesignersThe Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture’s examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence.https://polipapers.upv.es/index.php/IJPME/article/view/13323interval datauncertainty in datarange target-based criteriamulti-attribute decision making |
| spellingShingle | A. Jahan M. Yazdani K.L. Edwards TOPSIS-RTCID for range target-based criteria and interval data International Journal of Production Management and Engineering interval data uncertainty in data range target-based criteria multi-attribute decision making |
| title | TOPSIS-RTCID for range target-based criteria and interval data |
| title_full | TOPSIS-RTCID for range target-based criteria and interval data |
| title_fullStr | TOPSIS-RTCID for range target-based criteria and interval data |
| title_full_unstemmed | TOPSIS-RTCID for range target-based criteria and interval data |
| title_short | TOPSIS-RTCID for range target-based criteria and interval data |
| title_sort | topsis rtcid for range target based criteria and interval data |
| topic | interval data uncertainty in data range target-based criteria multi-attribute decision making |
| url | https://polipapers.upv.es/index.php/IJPME/article/view/13323 |
| work_keys_str_mv | AT ajahan topsisrtcidforrangetargetbasedcriteriaandintervaldata AT myazdani topsisrtcidforrangetargetbasedcriteriaandintervaldata AT kledwards topsisrtcidforrangetargetbasedcriteriaandintervaldata |