Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions

Zhumadillayeva, Аinur; Orazbayev, Batyr; Santeyeva, Saya; Dyussekeyev, Kanagat; Li, Rita Yi Man; Crabbe, M. James C.; Yue, Xiao‐Guang

doi:10.3390/info11060299

Cited by 31 publications

(13 citation statements)

References 30 publications

(65 reference statements)

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“…It is generally believed that the increased investments in human capital can improve the productivity of human capital itself; so, teachers are often seen as a key factor for the performance of graduate students [22]. However, the weight results show that the contribution of teacher investment to the evaluation of postgraduate training performance of Tianjin University is only 0.61%.…”

Section: First Level Indicators Second Level Indicators Weightmentioning

confidence: 95%

Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

Wang

Zeng

2021

Int. J. Emerg. Technol. Learn.

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Postgraduate training performance evaluation is an important part of higher education evaluation. In order to quantitatively evaluate the performance of postgraduate training combined with the needs of talent training in colleges and universities, a comprehensive evaluation system for postgraduate train-ing performance is designed and proposed. The analytic hierarchy process and the entropy method are combined to determine the weights of seven in-put and output indicators, such as funding input, teacher source input, sci-entific research ability, and graduate output quality. The comprehensive fuzzy evaluation model is also applied. This paper tests the above models to evaluate the graduate training performance of 20 colleges at Tianjin Univer-sity. It is found that the weight of student input and graduate output quality combined is 87.69%, which makes them the key indicators to measure the performance of graduate training. Furthermore, it is concluded that the per-formance of the science college was significantly higher than that of the humanities college.

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Section: First Level Indicators Second Level Indicators Weightmentioning

confidence: 95%

Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

Wang

Zeng

2021

Int. J. Emerg. Technol. Learn.

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“…While it is high time to examine biodiversity for implementing policies and measures to enhance biodiversity, research on biodiversity in China via AI and data visualisation is limited. This study mainly analysed the spatial distribution characteristics of the plant diversity in China after a long period of evolution and migration via spectral clustering algorithm and visualisation, with the discussion ranging from the origin of plants to the reasons for the present distribution characteristics (Ying, 2001;Li et al, 2009;Chen et al, 2011;Zhumadillayeva et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Achieving carbon neutrality in China: Spectral clustering analysis of plant diversity

Chen

et al. 2022

Front. Environ. Sci.

Self Cite

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Plants have a long history and diverse species. They play a critical role in the ecological chain, human production and life. With a vast territory, China has rich plant species and complex geographical regions, and research on the distribution of plant diversity in China is significant for utilising, developing, and protecting biological resources. This study aimed to study plant diversity in China. It obtained the plant diversity distribution data in China, then analysed it via spectral clustering and visualised it via Echarts. It was found that Yunnan records the most considerable plant diversity, followed by Sichuan and Tibet, meaning that the Southwestern part of China has the most extensive plant diversity. While it is expected that Tibet and Yunnan have backward economic development and hence a lower level of human destruction on plant diversity, Sichuan’s economic development is quite good. The land of abundance still has a wide variety of plants owing to excellent irrigation projects since 256BC. Besides, the Hengduan Mountains were the main route for Chinese plants to migrate from the west to the east, which might be closely related to the Himalayan orogeny. The Himalayan orogeny promotes the formation of the Qinghai–Tibet Plateau, which is a vital factor in the biodiversity formation in China. This study provides a basis for China’s conservation and study and enhances our understanding of plant biodiversity. As plant biodiversity increases soil organic carbon storage, it offers insights into carbon neutrality practitioners and researchers.

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“…Furthermore, the center of gravity method [1] is a common defuzzification technique method and is used to convert the fuzzified output into a single crisp value with respect to a fuzzy set. Referring to [2], the fuzzy set was applied to formulate the mathematical model of optimization of sustainable waste management. In the past decades, the Takagi-Sugeno (T-S) fuzzy system has been widely used by blending some subsystems and the specific membership function to represent nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Static Output Control of T–S Fuzzy Stochastic Systems via Line Integral Lyapunov Function

Yeh

Lin

et al. 2021

Processes

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Considering some unmeasurable states, a fuzzy static output control problem of nonlinear stochastic systems is discussed in this paper. Based on a modelling approach, a Takagi–Sugeno (T–S) fuzzy system, constructed by a family of stochastic differential equations and membership functions, is applied to represent nonlinear stochastic systems. Parallel distributed compensation (PDC) technology is used to construct the static output controller. A line-integral Lyapunov function (LILF) is used to derive some sufficient conditions for guaranteeing the asymptotical stability in the mean square. From the LILF, a potential conservatism produced by the derivative of the membership function is eliminated to increase the relaxation of sufficient conditions. Furthermore, those conditions are transferred into linear matrix inequality (LMI) form via projection lemma. According to the convex optimization algorithm, the feasible solutions are directly obtained to establish the static output fuzzy controller. Finally, a numerical example is applied to demonstrate the effectiveness and usefulness of the proposed design method.

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Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions

Cited by 31 publications

References 30 publications

Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

Postgraduate Training Performance Evaluation Applying Weighting and Comprehensive Fuzzy Evaluation Methods

Achieving carbon neutrality in China: Spectral clustering analysis of plant diversity

Fuzzy Static Output Control of T–S Fuzzy Stochastic Systems via Line Integral Lyapunov Function

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