Entropy Weight Model Research Articles

Spatial-temporal variations of ecological vulnerability in Jilin Province (China), 2000 to 2018

As the main grain production area in China, Jilin Province has a significant ecological function in Northeast China. Scientifically understanding the spatial and temporal characteristics of ecological vulnerability can aid in effectively managing environmental changes, guiding rational use of land resources and developing strategies for regional environmental protection. Applying the Sensitivity Resilience Pressure (SRP) conceptual model of ecological vulnerability, integrated with meteorological, remote sensing, and statistical data, a comprehensive evaluation index system for ecological vulnerability was established in Jilin Province. An entropy weight model constructed with analytic hierarchy process (AHP) and principal component analysis (PCA) was employed to calculate weights of each indicator. Using a geographical information system, the geospatial and temporal features of ecological vulnerability were analyzed from 2000 to 2018 in the study area. Spatial autocorrelation analysis was utilized to probe the spatial relationship. The results indicate that the ecological vulnerability was categorized a potential and light within the study area and that variations among different regions increased gradually from east to west. High levels of ecological vulnerability were mainly distributed in the western area, displaying a significant global spatial autocorrelation with high-high (HH) aggregation. Over time, the proportion of high vulnerability areas decreased from 14% in 2000 to 9% in 2018, while low vulnerability areas increased from 26% in 2000 to 29% in 2018. The results reflect the condition of the regional ecological environment, which could have implications for ecological protection and sustainable development in the Jilin Province.

Q-Rung orthopair fuzzy TOPSIS method and the application to information service quality evaluation in online health community

Since the information quality in the online health community is very important for users to obtain valuable health information, information quality evaluation is a necessary research that involves a multi-attribute decision-making (MADM) problem. However, few researches have been done to address both the construction of evaluation criteria and the expression and processing of fuzzy information, especially in online health community. This paper proposes a novel evaluation framework of information service quality combined principal component analysis (PCA) method with the TOPSIS method under q-rung orthopair fuzzy set (q-ROFS) environment. An accurate evaluation criteria system is optimized by the PCA method, and the q-ROF TOPSIS method is proposed to process larger space of fuzzy evaluation information and overcome information loss and information distortion, in which a new distance measure between q-ROFSs is defined and an entropy weight model is initiated to determine the unknown weight of attribute. Moreover, a numerical example is performed to prove the practicability and superiority of the method through comparative analysis, which gives clear results of information quality evaluation of four online health communities. This research ends with fuzzy decision-making theory and application, and provides references for standardizing and improving the information quality of online health communities.

A multi‐criteria decision making approach for strategy formulation using Pythagorean fuzzy logic

AbstractThe objective of this paper is to develop Pythagorean fuzzy (PF) multi‐objective optimization by ratio analysis (PF‐MOORA) plus full MULTIplicative form (PF‐MULTIMOORA) method for solving multicriteria decision making (MCDM) problems with completely unknown information of criteria weights. In the model formulation process, a new distance measure is defined to quantify the difference between PF sets by combining Hamming distance and Hausdorff metric. This distance measure is, subsequently, implemented in entropy weight model for determining unknown weights of criteria, and also in reference point approach for obtaining preference indices of alternatives. To overcome the deficiencies occurred in existing MULTIMOORA method, like multiple comparisons, circular reasoning, and so on, an aggregation‐based approach is recommended in the proposed PF‐MULTIMOORA. To demonstrate the feasibility and practicality of the proposed method, an example concerning strategy prioritization of a tiles manufacturing company is presented. In the strategy evaluation process, at first, the judgement values provided by the decision maker are expressed in linguistic terms, and then those are converted into PF numbers through a PF weighting scale. The sensitivity of the proposed model is validated by changing of weights of criteria which impact on the ranks of the strategies. To show robustness of the developed method, the result attained by applying PF‐MULTIMOORA is compared with existing techniques, not only in crisp and fuzzy quantitative strategic planning matrix context, but also using four other MCDM methods, namely, modified PF‐MOORA, as a particular case of the proposed PF‐MULTIMOORA technique, PF weighted sum, PF‐TOPSIS and PF‐VIKOR.

The Coupling Coordination Evaluation of Sustainable Development between Urbanization, Housing Prices, and Affordable Housing in China

For the past few years, China’s urbanization process has been in a state of rapid and variable development. With many migrants flowing from rural to urban area, the change in the urban structure and the trend of the economic development has led to a rapid development of the real estate market. However, the conflict between the migrants and the local low- and middle-income groups in respect of demand for basic housing has become a concern. Based on Chinese time-series data from 2008 to 2018, this study establishes an evaluation indicator system to consider the influence of urbanization, housing prices, and affordable housing and analyzes the comprehensive development level and coordination relationship using the methods of range standardization, entropy weight model, and coupling coordination. The results show that the comprehensive development levels of housing prices and affordable housing are both in a state of fluctuating growth. From 2008 to 2018, the coupling degree between urbanization, housing prices, and affordable housing was high, while the coupling coordination degree between the three subsystems increased from reluctant coordination to satisfactory coordination; this clearly shows that the relationships between urbanization, housing prices, and affordable housing are mutually coupled and promoted. Furthermore, based on the coupling coordination relationships between the three subsystems, this study discusses the sustainable development of urbanization and provides some suggestions for regional government. The conclusions have practical significance for China and other developing countries to coordinate housing prices and affordable housing in the process of rapid urbanization.

The changeable degree assessment of designed flood protection condition for designed unit of inter-basin water transfer project based on the entropy weight method and fuzzy comprehensive evaluation model

Since the 19th National Congress of the Communist Party of China, the high-quality development of China’s economy has put forward higher requirements for scientific and technological support of water safety guarantee. The flood control conditions of the design unit of water transfer project have changed to a certain extent compared with the initial design stage, especially the underlying surface of rivers and engineering conditions in the northern region have changed greatly, which has seriously affected the conveyance safety of water transfer project and the supply guarantee of water receiving area. Therefore, it is necessary to evaluate the change degree of flood control conditions in the design unit of water transfer project, and point out the weak links of flood control, so as to guide the flood control safety construction of the left bank area. In this paper, from the aspects of the change of underlying surface conditions, the actual flood discharge conditions of upstream and downstream, and the actual discharge capacity of buildings, the change of actual flood discharge conditions of water transfer project design unit compared with the original flood control design conditions is comprehensively considered. According to the principle of relatively independent, quantifiable and easy to obtain between indexes, the evaluation index system of flood control design condition change is established, On the basis of determining the classification standard for the quantitative and qualitative indexes, the entropy weight and fuzzy mathematics comprehensive evaluation model are used to evaluate the change degree of the current flood discharge conditions and the original flood control design conditions of each design unit of the water transfer project. For the units with large changes in flood control design conditions in the evaluation results, corresponding measures to eliminate risk factors and risk control will be taken. Finally, taking the flood control risk evaluation of a management office in a large-scale water transfer project as an example, this paper evaluates the change degree of the current flood discharge conditions and the original flood control design conditions of 16 three-level units in the management office. The results show that there are 6 three-level units with changes in the original flood control design conditions, including 4 great changes and 2 significant changes. The application example shows that the entropy weight and fuzzy mathematics comprehensive evaluation model can accurately reflect the change degree of each three-level design unit in the management office, and play a certain technical support role in the study of the performance change law in the life cycle of water transfer project and the theory of water transfer project and service environment evaluation. PACS: J0101

Study on risk assessment of EPC water conservancy project based on entropy weight set pair analysis

In recent years, EPC mode has been developed rapidly in water conservancy projects. However, due to the complex construction conditions, long construction period and easy to be affected by natural conditions of water conservancy project, the general contractor of EPC project is faced with greater risks. If the risk analysis is not enough, the project profit of the contractor will be lower than expected or even loss. Water conservancy project risk indicators are qualitative indicators, which are easily affected by subjective factors and quantitative uncertainty in the process of index quantification. In this paper, combined with the relevant research at home and abroad, combined with the characteristics of water conservancy projects, the establishment of water conservancy project risk assessment level index system. The set pair analysis model which can comprehensively evaluate the connection degree between risk index and risk level and the entropy weight model which can reflect the information content of the index are introduced into the risk evaluation of EPC water conservancy project. The evaluation results show that the entropy weight method can calculate the weight of each risk index in the risk level, and the set pair analysis method can comprehensively evaluate the connection degree between the risk index and different risk levels.

Path guidance based on landmark user preference fuzzy entropy weight model

Compared with electronic map or static point of interest (POI), the path guidance integrating landmarks with salience features can reduce the cognitive burden better. However, due to the influence of various factors on the significance of landmarks, specific mathematical formulas need to be constructed, and there is no unified formula construction standard. To solve this problem, considering the consistency of the idea between multiple factor comprehensive of landmark and multiple constraint optimal scheme decision of fuzzy decision, this paper constructs a fuzzy entropy weight model of landmark based on user preferences, which the actual values of landmark significance are converted to vague set values, and the weights of landmark factors are determined by fuzzy entropy of Vague soft sets. Subsequently, the landmark preference model and path guidance model are obtained and applied in the case of path guidance. Compared with the mathematical formula, the constructed landmark user preference model by fuzzy entropy of Vague soft sets reduces the construction complexity, and is an effective method to realize landmark preference and apply in path guidance.

Linguistic Einstein aggregation operator‐based TOPSIS for multicriteria group decision making in linguistic Pythagorean fuzzy environment

This article presents a new family of linguistic Pythagorean fuzzy aggregation operations based on Einstein t-norms and t-conorms. Some of their necessary properties are also discussed. In the proposed method, a generalized weighted distance measure is developed using a linguistic-scale function to evaluate differences among linguistic Pythagorean fuzzy sets (LPFSs). An entropy measure is also introduced for LPFS to measure fuzziness associated with linguistic decision information. Moreover, a technique for ordering preference by similarity to ideal solution (TOPSIS)-based methodology is constructed through the newly defined concepts to address linguistic Pythagorean fuzzy multicriteria group decision-making problems, where the information about weight is either completely known or unknown. Subsequently, weights of decision makers are computed through a TOPSIS-based algorithm, and weights of criteria are evaluated by introducing a linguistic Pythagorean fuzzy entropy weight model. To minimize information loss throughout the decision-making procedure, aggregation is done at the final stage for obtaining the final ranking of alternatives. Finally, several practical examples are considered, solved, and compared with existing methods to exhibit the robustness of the proposed methodology. Also, a sensitivity analysis is performed to establish the dynamic nature of the proposed model.

Group decision-making framework for site selection of coastal nuclear power plants in a linguistic environment: a sustainability perspective

ABSTRACT Site selection of nuclear power plants (NPPs) is a critical task since it has a significant influence on individual safety, environmental protection, and regional development. The objective of this study is to develop a multi-criteria group decision-making (MCGDM) framework in a linguistic environment that allows the government or the developer to select the optimal site for a costal NPP. This framework is composed of three primary parts: establishment of ranking criteria from a perspective of sustainability, determination of criteria weights using an entropy weight model, and aggregation of decision information by two compromise programing methods to compare and rank preferred candidate sites for NPPs. Finally, a case study in Fujian province, China is provided to demonstrate the applicability of the framework. The results show that there are significant differences between the weight values of criteria by level. The proposed approach is effective for selection of the most appropriate coastal NPP in consideration of sustainability under linguistic environments since the selected site is consistent with the feasibility report of NPP selection from the government. The findings provide a theoretical reference for NPP site selection involving multiple criteria and a small scale of decision makers and are also beneficial for sustainable nuclear power development and future energy structure optimization.

Application of DRASTIC Entropy Weight Model Method in Groundwater Vulnerability Evaluation in Ordos Area

The northeastern part of the Ordos Basin is the main recharge area of regional groundwater, the groundwater resources are relatively scarce. The main water supply source in the area is shallow groundwater, and there are many industrial and mining enterprises in the district. The potential groundwater pollution risk is high, and the the shallow groundwater vulnerability evaluation in the region is of great significance for groundwater resources protection.The weight of each indicator of the traditional DRASTIC model is fixed and does not change with the regional conditions, which may cause deviations in the evaluation results. This time, based on the DRASTIC model, the entropy weight coefficient method is introduced to determine the index weight, and the DRASTIC entropy weight model is established to obtain a more scientific and close to the actual conditions of the study area, and provide an important reference and basis for the protection of regional groundwater resources.

Family Wealth Accumulation and Fiscal Prudence among China’s Young Adults: Between the Privileged and the Common

Young adults in middle class Chinese families are seeing increased access to their family’s wealth. With the growing ubiquity of digital payments and consumer goods, they are spending at an ever increasing rate. But for young adults from less privileged financial backgrounds, high disposable incomes and glamorous shopping items may be out of reach. This paper is designed to analyze the development of financial literacy among all groups of young adults in China and assess the rationality of their financial behavior. I sought to determine the correlations between financial literacy, family income and fiscal prudence. I applied methods like OLS regression, entropy weight model and significance test to establish firm correlations. I hypothesized children of wealthier families would behave in a more financially reasonable way as they tend to have access to more education and general financial information. Thus, I would test using initial hypothesis that more privileged children will react and shop more prudently, which is further proved in the sections below.

Research on Comprehensive Evaluation of Military Aircrafts’ Overhaul Performance Based on Entropy Weight and Cloud Model

Due to the complex evaluation of the current military aircrafts’ overhaul performance with many influencing factors, an evaluation index system of military aircrafts’ overhaul performance was constructed. It was proposed that the entropy weight method (EWM) was used to calculate the performance results, and then the performance of the reliability and validity of the results was verified based on the cloud model. By collecting the performance index data of a certain type of military aircraft overhaul from 2015 to 2018, the value of the overhaul performance of this type of military aircraft was calculated, and the feasibility and effectiveness of the method were verified.

Coupling Coordination Relationship between Urban Sprawl and Urbanization Quality in the West Taiwan Strait Urban Agglomeration, China: Observation and Analysis from DMSP/OLS Nighttime Light Imagery and Panel Data

Urban sprawl is the most prominent characteristic of urbanization, and increasingly affects local and regional sustainable development. The observation and analysis of urban sprawl dynamics and their relationship with urbanization quality are essential for framing integrative urban planning. In this study, the urban areas of the West Taiwan Strait Urban Agglomeration (WTSUA) were extracted using nighttime light imagery from 1992 to 2013. The spatio-temporal characteristics and pattern of urban sprawl were quantitatively analyzed by combining an urban expansion rate index and a standard deviation ellipse model. The urbanization quality was assessed using an entropy weight model, and its relationship with urban sprawl was calculated by a coupling coordination degree model. The results showed that the urban area in the WTSUA experienced a significant increase, i.e., 18,806.73 km2, during the period 1992–2013. The central cities grew by 11.08% and noncentral cities by 27.43%, with a general uneven city rank-size distribution. The urban sprawl showed a circular expansion pattern, accompanied by a gradual centroid migration of urban areas from the southeast coast to the central-western regions. The coupling coordination level between urban expansion and urbanization quality increased from serious incoordination in 1992 to basic coordination in 2013. Dual driving forces involving state-led policies and market-oriented land reform had a positive influence on the harmonious development of urban sprawl and urbanization quality of the WTSUA. This research offers an effective approach to monitor changes in urban sprawl and explore the coupling coordination relationship between urban sprawl and urbanization quality. The study provides important scientific references for the formulation of future policies and planning for sustainable development in urban agglomerations.

Recognition criteria and application of lake eutrophication evaluation based on set pair analysis

The set pair analysis evaluation method has been applied to evaluate water quality. However, in real-life applications, because traditional assessing methods usually yield extreme results and are of poor resolution, a hybrid recognition criterion, entropy weight and set pair analysis model is established. The concepts and calculated methods of assessment grade fuzzy characteristic and confidence criterion were proposed in order to solve the problem of determination of the magnitude of lake eutrophication. And the weight value was calculated by entropy weight method and finally got the evaluation grade as a confidence interval based on confidence level. Compared with the set pair analysis based on triangular fuzzy number method (SPA(TFN)) and the improved set pair analysis method (ISPA), the evaluating results of this model are more reasonable and its resolving power is higher. This study offer new insights and possibility to carry out an efficient way for lake eutrophication status evaluation. The study also provides scientific reference in lake risk management for local and national governmental agencies.

Risk Evaluating of Chongqing Yangtze River Highway Tunnel Environment

The quantitative description on risk analysis is the assumption of risk management. Traditional risk assessment methods of engineering project are often affected by subjective factors. Fuzzy comprehensive evaluation by entropy weight model serve as a tool provide us a way to assess the risk. This new method could reduce or avoid the effect of subjective factors and fuzzy factors. This article introduce the basic theory of the method and analyze the risk of Chongqing Yangtze River Highway Tunnel environment, then calculates various risks factor using the entropy power the weight, and combines fuzzy mathematics method to establish evaluation model by combining qualitative analysis and quantificational computability, to evaluate the risk factor and to draw the conclusion. The practical analysis has proven that this method is preferable and feasible.

Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight model

The extreme precipitation events caused by climate change and the rapid development of urbanization have brought hidden flood risks to the cities. This paper comprehensively considered two major factors of vulnerability of urban flood-bearing and disaster prevention and mitigation (DPAM) capacity and built a comprehensive evaluation index system for urban flood-bearing risks. Secondly, a combined model consisted of composite fuzzy matter-element and entropy weight model was constructed to calculate the comprehensive risk indicator. Finally, the Zhengzhou City was taken as an example, the comprehensive indices of urban flood-bearing risk from 2006 to 2015 were evaluated. The results showed that the comprehensive risk of Zhengzhou City was generally on a slow upward trend, from II level (moderate-risk) in 2006 to III level (secondary high-risk) in 2015, which was mainly due to the mismatch between the rapid development of urbanization and the slow improvement of DPAM capabilities. This paper is expected to provide scientific reference and technical support for urban flood disaster prevention and sponge city construction.

Research on Comprehensive Benefits Evaluation of Prefabricated Buildings Energy Saving

In order to gain a deep understanding of the comprehensive benefits of prefabricated building energy efficiency. From the three aspects of economic benefit, environmental benefit and social benefit, the Delphi method was used to screen out 12 indicators. A comprehensive evaluation system for energy efficiency of fabricated buildings was constructed, and the comprehensive benefits of various energy saving measures were evaluated by TOPSIS entropy weight model. The results show that the energy efficiency of energy system and equipment efficiency, passive design energy conservation and the balance of building energy consumption through the use of renewable energy systems and the replacement of energy-saving three energy-saving measures can promote the improvement of comprehensive benefits. The benefits of energy efficiency and energy efficiency through energy systems and equipment are most pronounced. Finally, the scientific and effective evaluation of comprehensive benefits evaluation indicators and evaluation methods was verified by examples.

Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration

As the major form of urbanization, urban agglomeration integrates urban resources, adjusts industrial structure, narrows the gap between urban and rural areas, enhances urban function, strengthens urban competitiveness, and promotes the strategy of regional sustainable development. Based on the panel data of 10 cities in Ha-Chang urban agglomeration from 2000 to 2014, this paper establishes an evaluation index-system of population and land urbanization quality level, and analyzes the coordination degree, spatial heterogeneity, and spatiotemporal evolution of urbanization, through using the methods of range standardization, entropy weight model, and coupling coordination models. Results show that the quality of population and land urbanization was increasing gradually during the study period. However, the coordination degree between population and land urbanization rate is decreasing. The comprehensive level of population and land urbanization increasing yearly, from low-level coupling coordination reverse to high-level coupling stage. The quality differences between the population and land urbanization of the ten cities of the Ha-Chang urban agglomeration are significant. The radiation function of large-sized cities and the regulation of medium-sized cities are not strong, and the coordination degree of small-sized cities is low. In view of the coordinated status of the Ha-Chang urban agglomeration, differently size cities should propose corresponding urbanization development strategies to enhance the main function of the urban agglomeration.

Fuzzy matter-element model based on entropy weight Comprehensive evaluation ofatmospheric pollutant emission reduction potential in the port area

Based on the entropy weight and fuzzy matter-element model, the entropy weight method is used to determine the weight coefficient of the evaluation index. The matter element analysis and the calculated entropy weight are used to calculate Euclidean. The degree of proximity has established a fuzzy matter element evaluation model for the entropy weight of atmospheric pollutants in the port area, and completed a comprehensive evaluation of different emission sources in the port area, providing technical support for scientific and effective reduction of air pollutants in the port area.

Optimization and Evaluation of Ventilation Mode in Marine Data Center Based on AHP-Entropy Weight.

The ventilation mode affects the cooling efficiency of the air conditioners significantly in marine data centers. Three different ventilation modes, namely, underfloor ventilation, overhead ventilation, side ventilation, are numerically investigated for a typical marine data center. Four independent parameters, including temperature, velocity, air age, and uniformity index, are applied to evaluate the performances of the three ventilation modes. Further, the analytic hierarchy process (AHP) entropy weight model is established and further analysis is conducted to find the optimal ventilation mode of the marine data center. The results indicate that the underfloor ventilation mode has the best performance in the airflow patterns and temperature distribution evaluation projects, with the highest scores of 91.84 and 90.60. If low energy consumption is required, it is recommended to select the overhead ventilation mode with a maximum score of 93.50. The current evaluation results agree fairly well with the three dimensional simulation results, which further proves that the AHP entropy weight method is reasonable and has a high adaptability for the evaluation of air conditioning ventilation modes.