Multi-indicator comprehensive evaluation: reflection on methodology
The number and field of researches on the application of Multi-Indicator Comprehensive Evaluation (MICE) are increasing. It is important to reflect on the understanding of the MICE method systematically and the issues implied behind it. This paper compares the core concepts and methodological elemen...
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| Format: | Article |
| Language: | English |
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AIMS Press
2021-12-01
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| Series: | Data Science in Finance and Economics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/DSFE.2021016?viewType=HTML |
| _version_ | 1798035612945612800 |
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| author | Dong Qiu Tingyi Liu |
| author_facet | Dong Qiu Tingyi Liu |
| author_sort | Dong Qiu |
| collection | DOAJ |
| description | The number and field of researches on the application of Multi-Indicator Comprehensive Evaluation (MICE) are increasing. It is important to reflect on the understanding of the MICE method systematically and the issues implied behind it. This paper compares the core concepts and methodological elements of the three papers that systematically study the MICE method. It is found that the views of the three papers on the core issue are consistent and mutually supportive, but there are differences in the step division and sequence of the evaluation content. In addition, this paper considers the historical status of the MICE and holds that the key to solving the quality of weight lies in the "equivalent conversion" problem in the MICE. Taking the Human Development Index as an example, this paper illustrates the absoluteness of the "equivalent conversion" relationship. In addition, there are multiple processing methods for the MICE from the spatial dimension and multiple evaluation results accordingly, therefore, the results of the MICE need to be used carefully. Finally, based on the systematic summary and reflection of the MICE method, three suggestions are given for the application of the MICE method. |
| first_indexed | 2024-04-11T21:00:38Z |
| format | Article |
| id | doaj.art-f3e29600c6d7483a81e0c961fa65efc6 |
| institution | Directory Open Access Journal |
| issn | 2769-2140 |
| language | English |
| last_indexed | 2024-04-11T21:00:38Z |
| publishDate | 2021-12-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Data Science in Finance and Economics |
| spelling | doaj.art-f3e29600c6d7483a81e0c961fa65efc62022-12-22T04:03:31ZengAIMS PressData Science in Finance and Economics2769-21402021-12-011429831210.3934/DSFE.2021016Multi-indicator comprehensive evaluation: reflection on methodologyDong Qiu0Tingyi Liu 11. Jiangxi University of Finance and Economics, Nanchang, 330013, China2. Economics and Management School of Wuhan University, Wuhan, 430072, ChinaThe number and field of researches on the application of Multi-Indicator Comprehensive Evaluation (MICE) are increasing. It is important to reflect on the understanding of the MICE method systematically and the issues implied behind it. This paper compares the core concepts and methodological elements of the three papers that systematically study the MICE method. It is found that the views of the three papers on the core issue are consistent and mutually supportive, but there are differences in the step division and sequence of the evaluation content. In addition, this paper considers the historical status of the MICE and holds that the key to solving the quality of weight lies in the "equivalent conversion" problem in the MICE. Taking the Human Development Index as an example, this paper illustrates the absoluteness of the "equivalent conversion" relationship. In addition, there are multiple processing methods for the MICE from the spatial dimension and multiple evaluation results accordingly, therefore, the results of the MICE need to be used carefully. Finally, based on the systematic summary and reflection of the MICE method, three suggestions are given for the application of the MICE method.https://www.aimspress.com/article/doi/10.3934/DSFE.2021016?viewType=HTMLmulti-indicator comprehensive evaluationmethodological elementsstatistical evaluationequivalent conversionspatial interpretation |
| spellingShingle | Dong Qiu Tingyi Liu Multi-indicator comprehensive evaluation: reflection on methodology Data Science in Finance and Economics multi-indicator comprehensive evaluation methodological elements statistical evaluation equivalent conversion spatial interpretation |
| title | Multi-indicator comprehensive evaluation: reflection on methodology |
| title_full | Multi-indicator comprehensive evaluation: reflection on methodology |
| title_fullStr | Multi-indicator comprehensive evaluation: reflection on methodology |
| title_full_unstemmed | Multi-indicator comprehensive evaluation: reflection on methodology |
| title_short | Multi-indicator comprehensive evaluation: reflection on methodology |
| title_sort | multi indicator comprehensive evaluation reflection on methodology |
| topic | multi-indicator comprehensive evaluation methodological elements statistical evaluation equivalent conversion spatial interpretation |
| url | https://www.aimspress.com/article/doi/10.3934/DSFE.2021016?viewType=HTML |
| work_keys_str_mv | AT dongqiu multiindicatorcomprehensiveevaluationreflectiononmethodology AT tingyiliu multiindicatorcomprehensiveevaluationreflectiononmethodology |