Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation
Evaluating the reputation of higher institutions is important as a benchmark for the continuous development of universities. In multi-criteria decision-making (MCDM), the estimation of the criteria weight is significant in improving the accuracy of the evaluation results. However, criteria weights a...
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MDPI AG
2019-02-01
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Series: | Symmetry |
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Online Access: | https://www.mdpi.com/2073-8994/11/2/230 |
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author | Moses Olabhele Esangbedo Sijun Bai |
author_facet | Moses Olabhele Esangbedo Sijun Bai |
author_sort | Moses Olabhele Esangbedo |
collection | DOAJ |
description | Evaluating the reputation of higher institutions is important as a benchmark for the continuous development of universities. In multi-criteria decision-making (MCDM), the estimation of the criteria weight is significant in improving the accuracy of the evaluation results. However, criteria weights assigned by decision makers (DMs) can be inaccurate when not measured from the orientations from which the DMs pursue their decision goals. This paper combines the grey system theory (GST) and regulatory focus theory (RFT) in estimating the weights of criteria by measuring the promotional and prevention focus orientations of the DMs and representing it as grey numbers. In this paper, we showed not all weight measurements from the DMs are symmetrical. In essence, to improve the accuracy of the MCDM weights, the grey regulatory focus theory (GRFT) weighting method is proposed to estimate the weights of an MCDM problem as well as aggregating the weights of the group DMs, thereby overcoming the limitation of a single orientation measurement. Furthermore, the GRFT weighting method is applied in ranking four universities in Xi’an city of China from a sample data from 1200 students. The most reputable university is consistent with the other ranking indexes in the literature. |
first_indexed | 2024-04-12T05:45:33Z |
format | Article |
id | doaj.art-94f4e53cd9b34af7bf1a5e7b143d7b68 |
institution | Directory Open Access Journal |
issn | 2073-8994 |
language | English |
last_indexed | 2024-04-12T05:45:33Z |
publishDate | 2019-02-01 |
publisher | MDPI AG |
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series | Symmetry |
spelling | doaj.art-94f4e53cd9b34af7bf1a5e7b143d7b682022-12-22T03:45:28ZengMDPI AGSymmetry2073-89942019-02-0111223010.3390/sym11020230sym11020230Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University ReputationMoses Olabhele Esangbedo0Sijun Bai1School of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaSchool of Management, Northwestern Polytechnical University, Xi’an 710072, ChinaEvaluating the reputation of higher institutions is important as a benchmark for the continuous development of universities. In multi-criteria decision-making (MCDM), the estimation of the criteria weight is significant in improving the accuracy of the evaluation results. However, criteria weights assigned by decision makers (DMs) can be inaccurate when not measured from the orientations from which the DMs pursue their decision goals. This paper combines the grey system theory (GST) and regulatory focus theory (RFT) in estimating the weights of criteria by measuring the promotional and prevention focus orientations of the DMs and representing it as grey numbers. In this paper, we showed not all weight measurements from the DMs are symmetrical. In essence, to improve the accuracy of the MCDM weights, the grey regulatory focus theory (GRFT) weighting method is proposed to estimate the weights of an MCDM problem as well as aggregating the weights of the group DMs, thereby overcoming the limitation of a single orientation measurement. Furthermore, the GRFT weighting method is applied in ranking four universities in Xi’an city of China from a sample data from 1200 students. The most reputable university is consistent with the other ranking indexes in the literature.https://www.mdpi.com/2073-8994/11/2/230university reputationregulatory focus theorygrey system theorygroup decision-makingmulti-criteria decision-making (MCDM)weightinguncertainty decision-making |
spellingShingle | Moses Olabhele Esangbedo Sijun Bai Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation Symmetry university reputation regulatory focus theory grey system theory group decision-making multi-criteria decision-making (MCDM) weighting uncertainty decision-making |
title | Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation |
title_full | Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation |
title_fullStr | Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation |
title_full_unstemmed | Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation |
title_short | Grey Regulatory Focus Theory Weighting Method for the Multi-Criteria Decision-Making Problem in Evaluating University Reputation |
title_sort | grey regulatory focus theory weighting method for the multi criteria decision making problem in evaluating university reputation |
topic | university reputation regulatory focus theory grey system theory group decision-making multi-criteria decision-making (MCDM) weighting uncertainty decision-making |
url | https://www.mdpi.com/2073-8994/11/2/230 |
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