Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications

Shen, Kao-Yi; Tzeng, Gwo‐Hshiung

doi:10.3390/su10051600

Cited by 41 publications

(26 citation statements)

References 36 publications

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“…The integration or combination of fuzzy set, rough-set-based machine learning and specific MCDM methods not only illustrates the logical relations or patterns of a problem, but can also be applied to the support of continuous improvement with a directional guidance. DMs should be able to make superior decisions by comprehending the complicated logic behind a problem while dealing with extensive historical data (Shen, Yan, & Tzeng, 2017;Shen & Tzeng, 2018). Therefore, it is our hope to see the rapid growth of research in the field of MRDM to solve practical problems for crucial sustainability issues in future studies.…”

Section: Discussionmentioning

confidence: 99%

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Shen

Zavadskas

Tzeng

2018

Economic Research-Ekonomska Istraživanja

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A recent review discussed a variety of hybrid multiple criteria decision-making (HMCDM) methods on the subject of sustainability issues. Some soft computing techniques, such as the fuzzy set, have contributed significantly to HMCDM studies, emulating the imprecise or uncertain judgments of experts/decision makers in a complex environment. Nevertheless, a new rising trend in HMCDM, known as multiple rule-based decision-making (MRDM), which has the advantage of revealing understandable knowledge for supporting systematic improvements based on influential network relation maps (INRM), was not discussed in the review. This study therefore attempts to extend the review by introducing recent developments and the associated work on MRDM for solving practical problems, updating the discussion.

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Section: Discussionmentioning

confidence: 99%

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Shen

Zavadskas

Tzeng

2018

Economic Research-Ekonomska Istraživanja

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“…Before moving forward, one thing that needs to be noticed in here; the fuzzy performance evaluation [18], [20], [55], [59], [63][64] will be adopted and compared with the crisp evaluation in the next Section. Since the fuzzy linguistic expression is closer to how experts making judgments, the present study adopts a 3-scale linguistic intervals (i.e., Bad, Mid, and Good) for the invited experts by using the fuzzy triangular membership function, ranging from 0 to 10.…”

Section: Modified Vikor Methods For Aggregating Perfomrance Scoresmentioning

confidence: 99%

“…The DEMATEL technique also has the capability to analyze the directional influence between dimensions (or criteria), which is often applied to identify the root cause of an under-performed criterion for conducting systematic improvements. This technique has been widely applied in many fields, ranging from social science [16] to engineering [17], to pursue sustainability in various applications [18].…”

Section: Weighting (%)mentioning

confidence: 99%

Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model

Huang¹,

Shen²,

Shieh³

et al. 2018

Preprint

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While the importance of corporate governance has been broadly acknowledged in global financial markets and academic research, how to devise a practical evaluation system is relatively unexplored. This paper attempts to refine the Corporate Governance Evaluation System (CGES), constructed by the Taiwan Stock Exchange (TWSE) since 2014. The current CGES has several debatable issues in its complicated design (e.g., it comprises over 80 indicators in different types). To resolve those issues, this study invited ten senior domain experts (including several CEOs of financial holding companies) to retrieve 13 essential criteria from the CGES in four dimensions. And this study integrates several multiple criteria decision-making (MCDM) methods (i.e., Decision-making trial and evaluation laboratory (DEMATEL), modified VIKOR, DEMATEL-based analytical network process (DANP)) and the fuzzy evaluation technique to rank the exemplary companies. The obtained ranking is consistent with the one released from the CGES in 2017. This study conducted additional experiments to ensure the robustness of the findings. The newly devised model not only supports the ranking decisions but also provides a managerial guidance for companies to pursue systematic improvements. These findings enrich the understanding of corporate governance and contribute to gaining business sustainability for financial holding companies.

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“…Therefore, collaborative and problem-oriented approaches may be essential to the implementation of sustainable development and education [1]. Education, therefore, calls for transdisciplinary knowledge and skills in collaborative problem-solving (CPS), whereby students build and integrate their and others' knowledge across disciplines and apply transdisciplinary knowledge to real community problems [2,3].…”

Section: Introductionmentioning

confidence: 99%

Technology-Enhanced Learning: An Optimal CPS Learning Application

Chien

2019

Sustainability

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Collaborative problem-solving (CPS) is highly valued in the sustainability of learning to foster the key soft power of talent for the future. In this study, a CPS learning application was built to train and assess individuals with the aim of increasing CPS skills. For effective learning to take place, several issues need to be carefully considered, and these were investigated while testing the proposed application. This study examined the impact of collaborative interactions (CIs) (human–computer agent (HCA) and human–human (HH) interactions) on the CPS performance of students. Gender and learning styles, which may have interaction effects with CIs on CPS performance, were also explored. The results show that the students’ CPS performance in HCA was significantly greater than that in HH. The interaction effect between gender and CI was not significant. The impact of learning style on CPS performance in HH was not significant. In contrast, in HCA, students with verbal, global, and reflective learning styles performed significantly better on CPS tasks than did students with visual, sequential, and active learning styles. Finally, we discussed the optimal ways to teach CPS and the practical effects of a CPS learning application.

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Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications

Cited by 41 publications

References 36 publications

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model

Technology-Enhanced Learning: An Optimal CPS Learning Application

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Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications

Cited by 41 publications

References 36 publications

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Strengthen Financial Holding Companies&rsquo; Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model

Technology-Enhanced Learning: An Optimal CPS Learning Application

Contact Info

Product

Resources

About

Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model