Quantitative Entropy Weight TOPSIS Evaluation of Sustainable Chinese Wind Power Developments

Zheng, Hongyan; Si, Dongyang; Wang, Wei; Wang, Ruining

doi:10.1155/2018/6965439

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…In the current work, information entropy is performed to derive the objective weights of the evaluation criteria. An entropy-based TOPSIS is employed to rank the alternatives in order of preference and then choose the best solution that conforms to the decision maker's idea [19,21]…”

Section: Introductionmentioning

confidence: 99%

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Nguyen

Dung

2021

Eng. Technol. Appl. Sci. Res.

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Titanium and its alloys give immense specific strength, imparting properties such as corrosion and fracture resistance, making them the right candidate for medical and aerospace applications. There is a wide range of engineering applications that use titanium alloys in a variety of forms. The cost of these alloys is slightly higher in comparison to other variants due to the problematic extraction of the molten process. To reduce costs, titanium alloy products could be made by casting, isothermal forging, radial swaging, or powder metallurgy, although these techniques require some kind of finishing machining process. Titanium and its alloys are difficult to machine due to skinny chips leading to a small cutting tool-workpiece contact area. The thermal conductivity of titanium alloys is too low and the stress produced is too large due to the small contact area, which results in very high cutting temperatures. This paper deals with the experimental study of the influence of the Minimum Quantity Lubricant (MQL) environment in the milling of Ti-6Al-4V alloy considering the optimization of surface roughness and production rate. Taguchi-based TOPSIS and ANOVA were used to analyze the results. The experimental results show that MQL with vegetable oil is successfully applied in the milling of Ti-6Al-4V. The research confirms the suitability of TOPSIS in solving the Multiple Criteria Decision Making (MCDM) issue, by choosing the best alternative at Vc=120m/min, fz=0.065mm/tooth, and ap=0.2mm, where the surface roughness and material removal rate are 0.41µm and 44.1492cm3/min respectively. Besides, ANOVA can be used to predict the best parameters set in the milling process based on the regression model. The parameters predicted by ANOVA analysis do not coincide with any implemented parameters

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Section: Introductionmentioning

confidence: 99%

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Nguyen

Dung

2021

Eng. Technol. Appl. Sci. Res.

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“…Generally, the smaller the information entropy of an indicator means the greater its indicator variability and the greater the weight is. Otherwise, it is smaller Zheng et al 2018;Lv et al 2020). The calculation steps are as follows.…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

Comprehensive evaluation of water ecological environment in watersheds: a case study of the Yangtze River Economic Belt, China

Yang

Zhang

et al. 2022

Environ Sci Pollut Res

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The Yangtze River Economic Belt, as an inland economic zone with global influence, has shown a trend of prosperous economic development in recent years. In 2020, the total population of the Yangtze River Economic Belt accounted for nearly 50% of China's total population, and the GDP has reached 471,580 billion yuan. With economy developing, water pollution, resource depletion and many other environmental problems continue to emerge. Steady state of water ecological environment is an important part of ecological security. In order to investigate the regional water ecological security state, this study constructs a comprehensive evaluation indicator system with the framework of "Driving force-Carrying source-State-Management" (DCSM). The entropy weight method is used to determine the weight of each indicator, and then the weighted rank sum ratio model is introduced to classify the water ecological environment of Yangtze River Economic Belt from 2010 to 2019. Finally, the adversarial interpretative structure model is used to refine the ranking of each region. The results show that (1) The overall state of water ecology in the Yangtze River Economic Belt is at a medium level, with different regional divergent shortcomings in the upper, middle and lower basins. (2) Regional differences are obvious. The overall performance of the upper reaches is stronger than the middle and lower reaches and it can also founded that Zhejiang and Jiangsu present certain particularities which can be concluded as follow: the regions which consider traditional industrialization as the main development path perform worse. (3) It can be seen that from the sub-system level, the carrying state and water ecological management sub-system is highly correlated with the quality of water ecological environment. Therefore, in the future, it is necessary to pay attention to the overall water ecological safety in the basin and promote the sustainable development of water ecology. KeywordsWater ecological environment • The entropy weight method • The weighted rank sum ratio model • The adversarial interpretative structure model • Evaluation • The Yangtze River Economic Belt

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“…Ideal Solution) analysis is to help make a calculated decision through an analytical and numerical method that looks at the multiple alternatives available. Many multicriteria techniques such as MAX MIN, SAW, AHP, SMART, and TOPSIS have been used by Hwang et al [57], Pavić and Novoselac [58], Roszkowska and Wachowicz [59], and Zheng et al [60]. Compared to other methodologies, the TOPSIS model will be adopted for this research because of its high accuracy [61].…”

Section: Topsis Model For Merging Of the Centrality Of Indices Topsis...mentioning

confidence: 99%

Optimizing Intermodal Transport and Hub Location Problem for ECOWAS in the Context of Improving Intra-African Trade

Jihui

Agyemang

Cheng

2022

Journal of Advanced Transportation

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Trade within Africa is at an all-time low, with a lack of an optimal intermodal transportation network and a high cost of business serving as a deterrent to trade. This research studies Intra-African Trade within ECOWAS using a hierarchical spatial aggregation process to identify 27 nodes. Distance-based weighted centrality measures employed TOPSIS to model a ranked node centrality of Economic Community of West African States (ECOWAS) intermodal transport of railway, road, and waterway networks. The ten highest-ranking nodes identified from the mixed-integer linear program adopted as candidate hubs, thus selecting Ibeshe ferry terminal in Lagos and Tema Harbour in Accra for waterway; Thies, Ibadan, Conakry, Monrovia and Thies for railway; and Thies and Ibadan for road. We conclude with sensitivity analysis and a discussion of management implications for ECOWAS. This paper demonstrated that a limited number of transshipment hubs would encourage interregional trade and cut point-to-point transportation costs and lead to economic growth and development.

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Quantitative Entropy Weight TOPSIS Evaluation of Sustainable Chinese Wind Power Developments

Cited by 6 publications

References 6 publications

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Cutting Parameter Optimization in Finishing Milling of Ti-6Al-4V Titanium Alloy under MQL Condition using TOPSIS and ANOVA Analysis

Comprehensive evaluation of water ecological environment in watersheds: a case study of the Yangtze River Economic Belt, China

Optimizing Intermodal Transport and Hub Location Problem for ECOWAS in the Context of Improving Intra-African Trade

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