scholarly journals Multidimensional Fairness Equilibrium Evaluation of Urban Housing Expropriation Compensation Based on VIKOR

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 430 ◽  
Author(s):  
Zhaoyu Cao ◽  
Yucheng Zou ◽  
Xu Zhao ◽  
Kairong Hong ◽  
Yanwei Zhang
Keyword(s):  
Large Scale ◽  
Equilibrium Solution ◽  
Evaluation Method ◽  
Urban Expansion ◽  
Optimal Solution ◽  
Indicator System ◽  
Urban Housing ◽  
Entropy Method ◽  
Game Model ◽  
Game Equilibrium

Against the backdrop of emerging markets and the transitional society, the large-scale start-up of real estate development projects has brought about rapid economic growth and accelerated urban expansion, followed by extreme disputes between social groups. This paper aims to effectively solve the real dilemma of urban housing expropriation by obtaining a consensus regarding the fairness of compensation standards among expropriation compensation-related subjects. Three behavioral preferences—profit-seeking fairness, loss aversion and interactive fairness—were added to a multidimensional fairness equilibrium evaluation indicator system of urban housing expropriation compensation. The entropy method was used to calculate their weights. A multidimensional fairness game model and a multidimensional fairness equilibrium evaluation method based on compromise multi-criteria decision-making VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) of urban housing expropriation compensation were constructed to combine different strategic schemes of related subjects for the purpose of obtaining the compromise optimal solution, that is, the multidimensional fairness game equilibrium solution. The stability of the multidimensional fairness game model and the objectivity of the multidimensional fairness equilibrium evaluation were tested and verified through case data analysis and sensitivity analysis. The conclusion is drawn that the multidimensional fairness game equilibrium solution can effectively resolve extreme disputes regarding urban housing expropriation.

scholarly journals A COMPETENCY EVALUATION METHOD OF HUMAN RESOURCES MANAGERS BASED ON MULTI-GRANULARITY LINGUISTIC VARIABLES AND VIKOR METHOD

2012 ◽  
Vol 18 (4) ◽  
pp. 696-710 ◽  
Author(s):  
Peide Liu ◽  
Xingying Wu
Keyword(s):  
Human Resources ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Indicator System ◽  
Entropy Method ◽  
Linguistic Variables ◽  
Vikor Method ◽  
Evaluation Indexes ◽  
Human Resources Managers ◽  
Competency Evaluation

According to the characteristics of human resources managers’ competency and the research of relevant literatures at home and abroad, a competency evaluation method of human resources managers based on multi-granularity linguistic variables and VIKOR method is proposed. Firstly, the evaluation indicator system based on the competency of human resources managers is constructed. Then, by converting the evaluation information of different experts in different granularity to the same granularity by two-semantics, the comprehensive evaluation values can be obtained by integrating information of different experts. Further, the objective weights of the evaluation indexes were determined by the entropy method and an evaluation method were proposed based on the VIKOR method. Finally, an application example is given to illustrate the evaluation procedures of the developed approach and to demonstrate their practicality and effectiveness.

scholarly journals An investigation of migrants’ residential satisfaction in Beijing

Urban Studies ◽  
2019 ◽  
Vol 57 (3) ◽  
pp. 563-582 ◽  
Author(s):  
Yu Chen ◽  
Yunxiao Dang ◽  
Guanpeng Dong
Keyword(s):  
Large Scale ◽  
Urban Expansion ◽  
Subjective Evaluation ◽  
Multinomial Logit Model ◽  
Urban Housing ◽  
Living Environment ◽  
Residential Satisfaction ◽  
Urban Migration ◽  
Self Selection ◽  
Socio Economic Factors

Chinese cities have witnessed enormous neighbourhood changes as a result of housing reforms, rapid urban expansion and massive rural-to-urban migration. Migrants, without local hukou status, are confronted with many constraints in accessing urban housing. While previous studies have focused on migrants’ poor housing conditions, relatively little is known about their self-selection into different neighbourhood types, as well as their subjective evaluation of the living environment in local areas. Drawing upon a large-scale questionnaire survey conducted in Beijing in 2013, we examine the factors influencing migrants’ residential choices, in particular urban villages versus other neighbourhood types, in a multinomial logit model, and the sources of residential satisfaction in a multilevel framework. The results show that migrants sort themselves into different neighbourhoods contingent on demographic and socio-economic factors, and express different levels of satisfaction after controlling for individual attributes and geographical context. Moreover, their self-selection significantly influences residential satisfaction.

scholarly journals Evaluation Index System of Marine Ecological Environment

2021 ◽  
Vol 293 ◽  
pp. 01005
Author(s):  
Congcong Xing ◽  
Jing Li ◽  
Xiuren Li ◽  
Bei Zhao
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Objective Evaluation ◽  
Indicator System ◽  
Entropy Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Ecological Environment ◽  
Analytic Hierarchy ◽  
General Applicability

Based on the model of ecological environment evolution in the process of the economic development, this paper constructed the evaluation index system of marine ecological environment. The results were shown as follows: the evaluation index system of marine ecological environment consists of 1 object layer, 3 element layers (state of marine ecological environment pressure of marine ecological environment and response of marine ecological environment), and 15 factor layers. Index weight was calculated through combination weighting approach of subjective and objective evaluation method of analytic hierarchy process(AHP) and entropy method. The evaluation indicator system and evaluation method have general applicability and strong operability.

scholarly journals Investment risk evaluation of inland floating photovoltaic power plants in China using the HFLTS–TFN method

Clean Energy ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 536-550
Author(s):  
Yanli Xiao ◽  
Xin Ju ◽  
Bo Yu ◽  
Zheng Wang ◽  
Chuanbo Xu
Keyword(s):  
Power Plants ◽  
Large Scale ◽  
Indicator System ◽  
Entropy Method ◽  
Risk Level ◽  
Investment Risk ◽  
Response Strategies ◽  
Photovoltaic Power ◽  
The Stability ◽  
The Impact

Abstract Inland floating photovoltaic power plants (IFPPPs) are the key to making full use of water advantages to develop solar resources in the future. Identifying the investment risk is an important prerequisite for promoting the projects on a large scale. This paper proposes a model to assess the investment risk of IFPPPs in China. First, this paper identifies the investment risk factors and establishes an evaluation indicator system from four aspects. Second, the indicator data are collected and described by adopting hesitant fuzzy linguistic term sets and triangular fuzzy numbers to ensure soundness and completeness. Third, a weighted method combining the best–worst method and the entropy method are utilized to determine the indicator weights under the consideration of the impact of subjective preferences and objective fairness. Fourth, the results show that the overall risk level of China’s IFPPPs is ‘medium low’. Fifth, sensitivity analysis and comparative analysis are implemented to examine the stability of the evaluation results. Finally, this paper also provides some risk-response strategies for the development of China’s IFPPPs from economy, society, technology and environment.

scholarly journals Evaluation of China’s Circular Agriculture Performance and Analysis of the Driving Factors

2021 ◽  
Vol 13 (4) ◽  
pp. 1643
Author(s):  
Biao Li ◽  
Yunting Feng ◽  
Xiqiang Xia ◽  
Mengjie Feng
Keyword(s):  
Rapid Development ◽  
Arable Land ◽  
Indicator System ◽  
Resource Scarcity ◽  
Entropy Method ◽  
Agricultural Industry ◽  
Evaluation Indicator ◽  
Evaluation Indicator System ◽  
Per Capita ◽  
The Government

Along with industry upgrading and urbanization, the agricultural industry in China has been experiencing a stage of rapid development, on the bright side. On the other side, ecological environment deterioration and resource scarcity have become prevalent. Called by the current situation, circular agriculture arises as a direction for the industry to achieve sustainable development. This study develops an evaluation indicator system for circular agriculture using an entropy method, and evaluates factors that could drive the Chinese agricultural industry to achieve better performance. We employ the method using provincial data collected from the province of Henan, in which around 10% of the total grain in China is produced. It was found that agricultural technology and water resources per capita are positively related to circular performance in agriculture. In contrast, urbanization and arable land per capita are negatively related to circular performance. This article provides support to the government in policy-making related to the improvement of circular agricultural performance.

scholarly journals Temporal concatenation for Markov decision processes

2021 ◽  
pp. 1-28
Author(s):  
Ruiyang Song ◽  
Kuang Xu
Keyword(s):  
Markov Decision Processes ◽  
Large Scale ◽  
Optimal Solution ◽  
Upper Bounds ◽  
Black Box ◽  
Decision Processes ◽  
Optimal Solutions ◽  
Wide Range ◽  
Markov Decision ◽  
Speed Up

We propose and analyze a temporal concatenation heuristic for solving large-scale finite-horizon Markov decision processes (MDP), which divides the MDP into smaller sub-problems along the time horizon and generates an overall solution by simply concatenating the optimal solutions from these sub-problems. As a “black box” architecture, temporal concatenation works with a wide range of existing MDP algorithms. Our main results characterize the regret of temporal concatenation compared to the optimal solution. We provide upper bounds for general MDP instances, as well as a family of MDP instances in which the upper bounds are shown to be tight. Together, our results demonstrate temporal concatenation's potential of substantial speed-up at the expense of some performance degradation.

scholarly journals Fault diagnosis of industrial robot reducer by an extreme learning machine with a level-based learning swarm optimizer

2021 ◽  
Vol 13 (5) ◽  
pp. 168781402110195
Author(s):  
Jianwen Guo ◽  
Xiaoyan Li ◽  
Zhenpeng Lao ◽  
Yandong Luo ◽  
Jiapeng Wu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Extreme Learning Machine ◽  
Large Scale ◽  
Production Efficiency ◽  
Industrial Robot ◽  
Optimal Solution ◽  
Industrial Robots ◽  
Generalization Performance ◽  
Gradient Descent Algorithm ◽  
Learning Machine

Fault diagnosis is of great significance to improve the production efficiency and accuracy of industrial robots. Compared with the traditional gradient descent algorithm, the extreme learning machine (ELM) has the advantage of fast computing speed, but the input weights and the hidden node biases that are obtained at random affects the accuracy and generalization performance of ELM. However, the level-based learning swarm optimizer algorithm (LLSO) can quickly and effectively find the global optimal solution of large-scale problems, and can be used to solve the optimal combination of large-scale input weights and hidden biases in ELM. This paper proposes an extreme learning machine with a level-based learning swarm optimizer (LLSO-ELM) for fault diagnosis of industrial robot RV reducer. The model is tested by combining the attitude data of reducer gear under different fault modes. Compared with ELM, the experimental results show that this method has good stability and generalization performance.

Evaluation on the Suitability of Projects Linked to the Increase/Decrease in Urban and Rural Construction Land

2013 ◽  
Vol 295-298 ◽  
pp. 2493-2499 ◽  
Author(s):  
Jin Yang ◽  
Ya Xian Wu ◽  
Chao Xia
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Efficient Implementation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Field Surveys ◽  
Construction Land ◽  
Comprehensive Evaluation Method ◽  
Rural Construction

An indicator system is established for the suitability of projects linked to the increase/decrease in urban and rural construction land based on the field surveys for the old areas to be dismantled in three administrative villages such as Niulandian Village, Tianjiagou Village and Nanchongsi Village of Tianchi Town in Lezhi County of Sichuan Province, and the fuzzy comprehensive evaluation method is used to evaluate indicators. The analysis of evaluation results provides reference for the efficient implementation of projects linked to the increase/decrease in urban and rural construction land.

scholarly journals Characterizing the Topographic Changes and Land Subsidence Associated with the Mountain Excavation and City Construction on the Chinese Loess Plateau

2021 ◽  
Vol 13 (8) ◽  
pp. 1556
Author(s):  
Chuanhao Pu ◽  
Qiang Xu ◽  
Kuanyao Zhao ◽  
Yanan Jiang ◽  
Lina Hao ◽  
...  
Keyword(s):  
Loess Plateau ◽  
Large Scale ◽  
Ground Deformation ◽  
Urban Expansion ◽  
Chinese Loess Plateau ◽  
Rapid Urbanization ◽  
Chinese Loess ◽  
City Construction ◽  
Large Scale Land ◽  
The Chinese Loess Plateau

A mega project, Mountain Excavation and City Construction (MECC), was launched in the hilly and gully region of the Chinese Loess Plateau in 2012, in order to address the shortage of available land and create new flat land for urban construction. However, large-scale land creation and urban expansion significantly alters the local geological environment, leading to severe ground deformation. This study investigated the topographic changes, ground deformation, and their interactions due to the MECC project in the Yan’an New District (YND). First, new surface elevations were generated using ZiYuan-3 (ZY-3) stereo images acquired after the construction in order to map the local topographic changes and the fill thickness associated with the MECC project. Then, the interferometric synthetic aperture radar (InSAR) time series and 32 Sentinel-1A images were used to assess the spatial patterns of the ground deformation in the YND during the postconstruction period (2017–2018). By combining the InSAR-derived results and topographic change features, the relationship between the ground deformation and large-scale land creation was further analyzed. The results indicated that the MECC project in the YND has created over 22 km2 of flat land, including 10.8 km2 of filled area, with a maximum fill thickness of ~110 m. Significant uneven ground deformation was detected in the land-creation area, with a maximum subsidence rate of approximately 121 mm/year, which was consistent with the field survey. The strong correlation between the observed subsidence patterns and the land creation project suggested that this recorded uneven subsidence was primarily related to the spatial distribution of the filling works, along with the changes in the thickness and geotechnical properties of the filled loess; moreover, rapid urbanization, such as road construction, can accelerate the subsidence process. These findings can guide improvements in urban planning and the mitigation of geohazards in regions experiencing large-scale land construction.

Sign in / Sign up

Export Citation Format

Share Document