Effectiveness of Entropy Weight Method in Decision-Making

Zhu, Yongqiang; Tian, Dazuo; Feng, Yujie

doi:10.1155/2020/3564835

Cited by 290 publications

(215 citation statements)

References 17 publications

(17 reference statements)

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“…It is used to evaluate the values of maximizing (stimulants) and minimizing (destimulants) indicators; the influence of which on the results is examined separately. In turn, the entropy method makes it possible to objectively determine the values of the weights for the indicators included in the research [63,64].…”

Section: The Entropy-copras Decision-making Methodsmentioning

confidence: 99%

Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030

2021

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The concept of sustainable development integrates activities in the economic, environmental and social areas. Energy policy, which is very closely linked to climate protection, is of key importance for achieving the goals of the concept in question. All these elements are connected by the European Green Deal strategy and Agenda 2030. Their implementation requires the evaluation of previous actions undertaken within the framework of sustainable development and the diagnosis of the current state. Therefore, this article presents the results of such research in relation to the key industry connected with this process, which is the energy sector. The research methodology was based on the analysis of 14 indicators that characterize four basic areas (dimensions) related to energy and climate sustainability. These indicators concern energy and climate as well as social and economic issues. This approach makes it possible to comprehensively assess the actions taken so far in the implementation of sustainable economic development in the energy and climate area in the European Union (EU) countries. The entropy-complex-proportional-assessment (COPRAS) methodologies, which belong to the group of multiple criteria decision-making methods, were used for this study. The conducted research allowed for the assessment of the changes in the EU countries in terms of energy and climate sustainability between 2009–2018. In addition, the effects of the introduced changes in individual years and in relation to the studied areas (dimensions) were also evaluated. Based on the results, considering the adopted criteria, the EU countries were divided into groups similar to the level of energy and climate sustainability. The results constitute a valuable set of data, which allows for a wide and in-depth multicriteria analysis. This allows for a very objective and broad assessment of the effects of sustainable development policies in the EU countries and the current state in the context of the European Green Deal strategy and Agenda 2030.

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Section: The Entropy-copras Decision-making Methodsmentioning

confidence: 99%

Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030

2021

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“…This can be explained in the situation as follows. For the performance scores of alternatives with respect to an attribute varied significantly from one to another, then this specific attribute may exhibit more interesting or meaningful information [55]. Thus, from the viewpoint of decision-making, more attention or weightage should be given to such attributes as compared to that with homogeneous data.…”

Section: Application Of Shannon Entropy Methods (Stage 22)mentioning

confidence: 99%

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

2020

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λ0-measure is a special type of fuzzy measure. In the context of multi-attribute decision making (MADM), the measure can be used together with Choquet integral to model the interdependencies that usually present between the decision attributes. Unfortunately, the range of techniques available to estimate λ0-measure values is too limited i.e., only four techniques are available to this date. Besides, the review on literature shows that each of these existing techniques either requires some initial data from the decision-makers or misrepresents the actual interdependencies held by the attributes. Thus, an alternate unsupervised technique is needed for the estimation of λ0-measure values. This study has developed such a technique by integrating the idea of distance correlation and Shannon entropy. In this technique, the two inputs required to estimate λ0-measure values, namely, the interdependence degrees and fuzzy densities are determined by utilizing the distance correlation measures and entropy weights, respectively. An evaluation to rank the websites owned by five different hospitals located in Sabah, Malaysia, was conducted to illustrate the usage of the technique. A similar evaluation was also performed with a few selected MADM techniques for comparison purposes, where the proposed technique is found to have produced the most consistent ranking. From the literature perspective, this study has contributed an alternate unsupervised technique that can estimate λ0-measure values without necessitating any additional data from the decision-makers, and at the same time can better capture the interdependencies held by the attributes.

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“…(20) Information release of innovation and entrepreneurship in clean energy: universities publish clean energy innovation and entrepreneurship competition projects, training and other activities or policy information and service information about clean energy innovation and entrepreneurship. (21) The construction of innovative and entrepreneurial guidance institutions for clean energy: innovation and entrepreneurship guidance service, energy policy and development analysis, fiscal and taxation policy introduction, experience introduction and other service institutions of clean energy major in colleges and universities. (22) The construction of innovative and entrepreneurial education associations for clean energy: the construction of clean energy entrepreneurship clubs, future entrepreneurs' associations and youth entrepreneurship associations.…”

Section: Selection Of Evaluation Indexesmentioning

confidence: 99%

“…The index weight determination in the SPA and VFS coupling model is particularly important, which is worthy of further discussion. In this paper, an improved set pair analysis-variable fuzzy set coupling evaluation model (SPA-VFS) is established by coupling rank method [20] with entropy weight method [21]. In modern intelligent evaluation methods, the BPNN evaluation method has the problems of slow convergence and easy to fall into local optimum [22].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Development Evaluation of Innovation and Entrepreneurship Education of Clean Energy Major in Colleges and Universities Based on SPA-VFS and GRNN Optimized by Chaos Bat Algorithm

2021

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The research on the sustainability evaluation of innovation and entrepreneurship education for clean energy majors in colleges and universities can not only cultivate more and better innovative and entrepreneurial talents for the development of sustainable energy but also provide a reference for the sustainable development of innovation and entrepreneurship education for other majors. To achieve systematic and comprehensive scientific evaluation, this paper proposes an evaluation model based on SPA-VFS and Chaos bat algorithm to optimize GRNN. Firstly, the sustainability evaluation index system of innovation and entrepreneurship education for clean energy major in colleges and universities is constructed from the four aspects of the environment, investment, process, and results, and the meaning of each evaluation index is explained; Then, combined with variable fuzzy set evaluation theory (VFS) and set pair analysis theory (SPA), the classical evaluation model based on SPA-VFS is constructed, and the entropy weight method and rank method are coupled to obtain the index weight. The basic bat algorithm is improved by using Tent chaotic mapping, and the chaotic bat algorithm (CBA) is proposed. The generalized regression neural network (GRNN) model is optimized by CBA, and the intelligent evaluation model based on CBA-GRNN is obtained to realize fast real-time calculation; finally, a numerical example is used to verify the scientificity and accuracy of the model proposed in this paper. This study is conducive to a comprehensive evaluation of the sustainability of innovation and entrepreneurship education for clean energy major in colleges and universities, and is conducive to the healthy and sustainable development of innovation and entrepreneurship education for clean energy major in colleges and universities, so as to provide more innovative and entrepreneurial talents for the clean energy industry.

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Effectiveness of Entropy Weight Method in Decision-Making

Cited by 290 publications

References 17 publications

Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030

Assessing the Level of Energy and Climate Sustainability in the European Union Countries in the Context of the European Green Deal Strategy and Agenda 2030

An Alternate Unsupervised Technique Based on Distance Correlation and Shannon Entropy to Estimate λ0-Fuzzy Measure

Sustainable Development Evaluation of Innovation and Entrepreneurship Education of Clean Energy Major in Colleges and Universities Based on SPA-VFS and GRNN Optimized by Chaos Bat Algorithm

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