Integrating Extended Fourier Amplitude Sensitivity Test and Set Pair Analysis for Sustainable Development Evaluation from the View of Uncertainty Analysis

Luan, Wenfei; Lu, Lei; Li, Xin; Ma, Can

doi:10.3390/su10072435

Cited by 6 publications

(5 citation statements)

References 47 publications

(27 reference statements)

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“…It has multiple applications such as in physics, number theory, statistics and probability, optics, oceanography, image processing and cryptography to name a few. Fourier analysis has been applied in respect to environmental and sustainability-based case studies such as in Pata (2021), Wagenseil and Samimi (2006), Luan et al (2018), Logan et al (2010) and Bush et al (2017), in order to determine cyclic processes. However, these and others have been case-specific to a defined area, issue, topic and/or environmental system, for example, agricultural sustainable development, weather/climate, tropics etc.…”

Section: I) the Environment And Societal Needs Hnimentioning

confidence: 99%

Determining the fundamental dynamics of global sustainability in the Anthropocene from a vulnerability perspective

Phillips

2023

The Anthropocene Review

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This paper conducts a detailed quantitative study of the indicated long-term levels, nature and dynamics of sustainability at the global spatial scale over time, within the context of the vulnerability of the environment-human relationship and system. In this study, the Sustainability Dynamics Framework is applied to the results of the Notre Dame Global Adaptation Initiative index for the period 1995–2018. The study indicates that the obtained S-values at the global spatial scale throughout the specified period were consistent with very weak unsustainability occurring. Through statistical analysis, the study indicates that the triumvirate of influencing factors (Population, GDP, Greenhouse Gases) have a significant influence and impact individually and cumulatively upon obtained S-values. The study then determines the net change in obtained E, HNI and S-values, and consequently evaluates the dynamics of the rate of change of the Earth System ( dE/dt), as defined in the Anthropocene Equation theory. To support this, Fourier analysis of net change of S-values is applied for the first time within the SDF application methodology, using eight time periods of 16 years’ duration over the period 1996–2018. The analysis indicates continuous overlapping cycles of 7 years’ duration, consisting of a lag time of 3 years leading to an impact period of 4 years. The Fourier analysis potentially indicates clearly for the first-time humanity’s footprint signal upon the environment-human relationship and system in the Anthropocene. The study concludes that humanity’s actions and inactions have resulted in the indicated unsustainability and vulnerability of the environment-human relationship and system. As a consequence, there is a potential realistic risk of systemic collapse unless fundamental changes occur in respect to the global environment-human relationship.

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Section: I) the Environment And Societal Needs Hnimentioning

confidence: 99%

Determining the fundamental dynamics of global sustainability in the Anthropocene from a vulnerability perspective

Phillips

2023

The Anthropocene Review

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“…In this study, a quantitative evaluation system was used, and it has four dimensions, i.e. agricultural economic development level, agricultural productive factors development level, agricultural social development level and agricultural resources and environment development level (Luan et al, 2018). Another framework has been develped for appraising the sustainability in the manufacturing of the Ayurveda pharmaceutical industry.…”

Section: Related Workmentioning

confidence: 99%

“…In previous studies, sustainability was evaluated for many research areas, i.e. education (Ofei-Manu and Didham, 2018) (Mabila et al, 2017), technology (Coskun-Setirek and Tanrikulu, 2019), agriculture (Luan et al, 2018), production (Venugopal and Saleeshya, 2019), information and communication technology (ICT) (Ng and Nicholas, 2013;Ziemba, 2017), etc. However, in these studies, researchers mostly use quantitative statistical techniques or qualitative approaches to measure sustainability.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating sustainability of mobile learning framework for higher education: a machine learning approach

Dolawattha

Premadasa

Jayaweera

2022

IJILT

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PurposeThe purpose of this study is to evaluate the sustainability of the proposed mobile learning framework for higher education. Most sustainability evaluation studies use quantitative and qualitative methods with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally.Design/methodology/approachIn the proposed method, the authors use a novel machine learning-based ensemble approach with severity indexes to evaluate the sustainability of the proposed mobile learning system. In this severity indexes, consider the cause-and-effect relationship to identify the hidden correlation among sustainability factors. Also, the proposed novel sustainability evaluation algorithm helps to evaluate and improve sustainability iteratively to have an optimal sustainable mobile learning system. In total, 150 learners and 150 teachers in the university community engaged in the study by taking the sustainability questionnaire. The questionnaire consists of 20 questions that represent 20 sustainable factors in five sustainability dimensions, i.e. economic, social, political, technological and pedagogical.FindingsThe results reveal that the proposed system has achieved its economic and pedagogical sustainability. However, the results further reveal that the proposed system needs to be improved on technological, social and political sustainability.Originality/valueThe study focused novel machine learning approach and technique for evaluating sustainability of the proposed mobile learning framework.

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“…Wang et al, analyzed the coordination ability in Yanchi County since it implemented the grazing prohibition policy by SPA, and the results indicate that Yanchi County was essentially in the second grade of the national sustainable development level [43]. Luan et al, employed SPA to handle the uncertain relations in the evaluation system and calculate sustainable agricultural development in the middle reach of the Heihe River [44].…”

Section: Introductionmentioning

confidence: 99%

Sustainability Assessment of Autonomous Regions in China Using GRA-SPA Method

Shi

et al. 2021

Sustainability

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Sustainability development is a core issue in autonomous regions’ construction and development. The paper evaluated the sustainability development of the five autonomous regions in Western China from 2010 to 2019. In order to further analyze the sustainable development level of the autonomous regions, it is compared with the three provinces with the largest GDP in Central China in the past three years, and similarly, with the three provinces in Eastern China. A new weighting method was proposed by combining the grey relational analysis (GRA) and set pair analysis (SPA) methods that not only analyze the correlation between indicators and ideal points but also analyze the status and development trend. The method can ensure the objectivity of indicator weight. Firstly, the ideal reference point is determined by the grey correlation degree between the indicator and the ideal positive point. Secondly, the indicator and the ideal reference point constitute a set pair system, and the relation number is used further to analyze the status and development trend of the indicator to determine the weight objectively. The sustainability results showed that the progress of the autonomous regions’ sustainable development in China was increased slowly in 2010–2019. For example, Ningxia and Xinjiang saw the slowest growth. The prime reason is that economic sustainability has declined severely. Although Inner Mongolia presented the highest increasing trends, the growth rate value was 0.75%. In contrast, other autonomous regions showed a negative growth trend. Regarding sustainable development in three dimensions, the economic sustainability performance of autonomous regions is not ideal, but the environmental sustainability performance is the most ideal. This conclusion implicates the necessity and urgency of improving the coordinated development of the three dimensions of autonomous regions in China.

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Integrating Extended Fourier Amplitude Sensitivity Test and Set Pair Analysis for Sustainable Development Evaluation from the View of Uncertainty Analysis

Cited by 6 publications

References 47 publications

Determining the fundamental dynamics of global sustainability in the Anthropocene from a vulnerability perspective

Determining the fundamental dynamics of global sustainability in the Anthropocene from a vulnerability perspective

Evaluating sustainability of mobile learning framework for higher education: a machine learning approach

Sustainability Assessment of Autonomous Regions in China Using GRA-SPA Method

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