Housing affordability evaluation based on the third-generation prospect theory and the improved VIKOR method

2021 ◽  
pp. 1-16
Author(s):  
Guancen Wu ◽  
Chen Li ◽  
Xing Niu

Housing affordability is an important issue and can be measured by an increasing number of indicators. Different urban settings may lead to different housing affordability criteria. This study incorporates the third-generation prospect theory and improved VIKOR method to construct a novel, comprehensive evaluation model for assessing housing affordability. The housing price to income and rent to income ratios were chosen as evaluation indicators, and the yearly median value of each indicator was taken as a dynamic reference point. The housing affordability indicators’ realistic prospect value matrix for large- and medium-sized Chinese cities were obtained for the study period’s duration. The comprehensive housing affordability prospect values were ranked using the improved VIKOR with entropy weight method. The novel proposed approach’s rationality and effectiveness were examined by comparing the original and prospect values, performing sensitivity analysis on the prospect value parameters, contrasting the ordinary and improved VIKOR methods, and comparing the proposed approach with the TOPSIS method. The results demonstrate that the proposed method can consider the decision maker’s psychological factors, endow housing affordability evaluation criteria with dynamic characteristics, overcome the problem of order reversal, and ensure the optimal compromise solution. Therefore, the proposed approach is suitable for housing affordability evaluation.

2020 ◽  
pp. 1-11
Author(s):  
Xiaoying Xu ◽  
Zhijian Zeng

The regional economic evaluation and analysis has guiding significance for the subsequent economic strategy formulation. Due to the influence of various factors, the volatility of some current economic evaluation models is relatively large. According to the needs of regional economic evaluation, this study uses computer technology combined with regional economic development to build an economic development evaluation model to evaluate and analyze the regional economy. Through comparative analysis, this study selects the entropy weight-TOPSIS model as the comprehensive evaluation model of regional economy, uses the entropy weight method to determine the weight of each index, and then uses the TOPSIS method to conduct comprehensive evaluation. In addition, this study designs a control experiment to analyze the performance of this study model. Moreover, this study uses the model proposed in this study to conduct regional economic evaluation in recent years, and compares it with real data, and observes the test results with statistical charts and table data. The research results show that this research model has a certain effect, which can provide analytical tools for the follow-up economic strategy research and analysis.


Author(s):  
Wang Yuansheng ◽  
Zhang Ying ◽  
Guo Xinyao

At present, various public emergencies occur frequently around the world, and the world has entered the stage of a “high-risk society”. Urban community as the carrier of all kinds of public emergencies, its role has become increasingly prominent and become the focus of the current research, but in the urban community emergency management capacity evaluation system, the related studies are still less. To more effectively identify the key internal and external factors that affect the emergency management ability of the urban community, and evaluate scientifically and effectively, on the basis of the existing studies, the evaluation index system of community emergency management capability was established according to the emergency management cycle theory. In view of the complexity and fuzziness of the emergency management capability of the urban community, a multi-layer fuzzy comprehensive evaluation model based on entropy weight was established, and the emergency management capability evaluation of community was carried out under the background of the public emergency event of COVID-19 epidemic. The results show that the evaluation results and improvement suggestions of the multi-layer fuzzy comprehensive evaluation model based on entropy weight are consistent with the actual situation, indicating that the index system and the selected method are reasonable and effective. This study provides a new decision-making idea and method for the evaluation of urban community emergency management capability, and has high application value.


Author(s):  
Bernardinus Agus Arswimba

ABSTRACT Home visit is a responsive service that is urgent, so it needs to be implemented immediately to help students solve problems faced. If home visit is not done well, the problem will have a more complex impact on students. The purpose of the study was to determine the performance of counselors according to or not with the standards and professional counselor evaluation criteria for Comprehensive (Evaluation Model South Carolina) counseling guidance to make decisions or follow-up the programs that have been implemented. The research method used is descriptive evaluation using the Model Evaluation Discrepancy. This model measures the difference between performance standards and real conditions that have been implemented. The instrument of this research is using questionnaires and interviews. The results showed that home visits conducted by counselors at Santa Maria Malang Middle School in the category "close from standard". Keywords: home visit, model evaluation discrepancy


2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.


2017 ◽  
Vol 11 (6) ◽  
pp. 15 ◽  
Author(s):  
Zhuhui He ◽  
Rui Liao ◽  
Longlong Wang

The paper studies whether the opening of community can improve the road capacity. First of all, based on the consideration of road space and traffic quality, the evaluation indexes are: road network density, road network connectivity, non-linear coefficient, traffic volume of main road beside community, delay time of intersection, travel time consumption and vehicle accessibility. Secondly, the weight of the index is calculated by the method of relative comparison, the variation coefficient method and the entropy weight method. Then, we sort the three weights, using the correlated coefficient and degree of spearman rank to combine the three weights, so as to get combined weights of various index and achieve the effect which makes good use of the method. Finally, we combine indicators and weights, establish a comprehensive evaluation model, and assess the road capacity before and after the opening of the road. Through the calculation, it is found that the comprehensive evaluation index after the opening of the community is higher than that before the opening, that is, the positive impact on the surrounding roads.


2011 ◽  
Vol 328-330 ◽  
pp. 943-947
Author(s):  
Qiang Zhang ◽  
Bo Wang ◽  
Fang Wei Liao

In this article, the entropy weight and fuzzy comprehensive evaluation methods is applied to Ecological Benefit of cold-formed thin-walled steel residential structure. Designed indicators system of Ecological benefits about cold-formed thin-walled steel residential structure, we divided into nine indicators in the system, then we grant questionnaire through selecting experts of project benefits Evaluation and experts on study about cold-formed thin-walled steel residential structure, Scoring the importance of eco-efficiency indicators, Using the Entropy weight to determine the weights of evaluation indexes, then combining with fuzzy comprehensive evaluation model, comprehensive evaluation on a variety of factors is made, analyzing ecological benefits about cold-formed thin-walled steel residential structure, eventually the result of Comprehensive Evaluation of Ecological benefits about cold-formed thin-walled steel residential structure is obtained.


2011 ◽  
Vol 186 ◽  
pp. 230-235 ◽  
Author(s):  
Xiao Hua Lin ◽  
Yi Xiong Feng ◽  
Jian Rong Tan ◽  
Xiang Hua An

The product concept evaluation plays a very important role in product development. It can be considered as multi-criteria decision making (MCDM) problem. In a MCDM problem, a decision maker has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. This paper introduces a compromise MCDM evaluation model which combines fuzzy DEMATEL and VIKOR methods. The criteria weights are determined based on separate cause-effect assessment of a group of experts using the fuzzy DEMATEL approach. The resulting criteria weights are applied to the decision analysis where the fuzzy VIKOR approach is adopted which determines a compromise solution by using utility weight.


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