Euclid Approach Degree Research Articles

A method of network robustness under strategic goals for project portfolio selection

Selecting a rational project portfolio is a key step in achieving the strategic goals of an enterprise. However, the selection is challenging due to complicated relationships in the project portfolio network. This paper proposes a method based on complex network theory to select a robust project portfolio under strategic goals. The proposed method consists of three phases. In the first phase, the strategic goal of the enterprise is divided into several sub-goals, and the approach degrees between projects and sub-goals are determined by the Euclid approach degree. In the second phase, the coupling coordination degree (CCD) of the project portfolio is determined by using the modified CCD model. The optimal project portfolio that considers the robustness of the project portfolio network under random attack is obtained in the last phase. A numerical example demonstrates how the project portfolio selection method fits in an enterprise and proves the model’s efficiency via selection results obtained with different attack intensities. This research provides theoretical guidance and practical applied value for theoretical researchers and companies.

Technologies selection to prevent and control excrement pollution from livestock and poultry farming in Huang-Huai-Hai Region

Taking nitrogen, phosphorus, heavy metals and antibiotics as selection indicators, the fuzzy matter element analysis based on the entropy weight method was used to evaluate and select the technologies to prevent and control excrement pollution from intensive livestock and poultry farming in the Huang-Huai-Hai (HHH) Region, with the combination of Euclid approach degree. The results showed that the N change rate and the passivation rate of heavy metals in the excrement pollution treatment technologies accounted for higher weights, indicating that the difference between N and heavy metals in different treatment technologies was large. When choosing treatment technology, priority could be given to the technologies to prevent and control N and heavy metals. According to the final evaluation results, the technology of multi-level ecological and in-depth treatment was better for the liquid manure, while the technology of reactor composting was better for the treatment of solid manure.

Tanker Selection Based on an Entropy-Weighted Fuzzy Matter Approach

As an important aspect of global economic development, the choice of ship type for offshore oil transportation is a key issue in shipping companies making investment decisions. These can have far-reaching impacts regarding economic benefits and operational developments by shipping companies. To facilitate relatively accurate scientific decisions to evaluate the economic nature of tankers on investment plans, the study assigns entropy weights to various indicators and models tanker type economic arguments based on the entropy-weighted fuzzy matter-element approach, and by calculating the Euclid approach degree of each tanker evaluates the choice of tanker ship type. The results from the study show that the entropy-weighted fuzzy matter-element method is very effective in dealing with tanker selection and decision-making under complex and multi-attribute scenarios. Several conclusions are drawn and further work suggested.

Fuzzy Matter-element Analysis Model of IP-influence Based on EFA-Euclid Approach Degree

With the rise of Intellectual Property (IP) films, IP influence has become one of the important criterias to consider whether an IP film has development value[1]. The influence of the IP films is a fuzzy concept, and its evaluation is not only affected by a variety of factors(both qualitative and quantitative indicators), but also has the problem of incompatible of single indicator evaluation. Based on the actual situation of China’s IP film market and the characteristics of literary works IP, this paper constructs an evaluation index system of the influence of IP films. On the basis of fuzzy matter-element analysis theory, the exploratory factor analysis is introduced into the weight calculation, and combined with the Euclid approach degree, the fuzzy matter-element model based on EFA-Euclid Approach Degree is established, which sorts the IP influence according to the size of the relative paste progress, and the evaluation result is more objective and reasonable. This model ranks IP influence according to the relative approach degree, and the evaluation results are more objective and reasonable.

The application of Euclid approach degree comprehensive evaluation method in credit evaluation of commercial circulation enterprises

Based on the thorough analysis of the factors affecting the credit level of commercial circulation enterprises, a scientific and systematic evaluation index system was established. By adopting the fuzzy matter-element analytical method, which especially suits the multi-index and incompatibility issue, the evaluation model was built. The comprehensive integrated weighting method was applied for the determination of the index weight. Meanwhile, the subjective and objective information were considered comprehensively to elaborate the inherent law of the commercial circulation enterprise credit risk evaluation, which provide a practical and effective method for judging the credit level of commercial circulation enterprises and analyzing the key influencing factors of credit evaluation, and also provide a direction and reference for improving the credit level of commercial circulation enterprises.

SDGs-Based River Health Assessment for Small- and Medium-Sized Watersheds

A river health assessment index system was established, focusing on the realistic needs of county sustainable development and the refined management of small- and medium-sized watersheds. The index system takes into consideration the United Nations’ Sustainable Development Goals (SDGs) and the vulnerability characteristics of small- and medium-sized watershed ecosystems and consists of 15 indicators in four areas: clean water, sanitation, the present status of biodiversity and threats to biodiversity. This paper uses the minimum discrimination information principle to construct a dynamic combination-weighting technology composed of a subjective weighting method (document frequency method) and an objective weighting method (entropy weight method). Using the fuzzy matter-element analysis theory, a comprehensive river health assessment technology system was constructed. Baoxing County was chosen as the research area and the results reveal that: (1) Key indicators are the biodiversity index of fish, water use intensity, endemic or indicative species retention, and chemical oxygen demand (COD) emissions. (2) The Euclid approach degree of Baoxing County indicates that the entire river is in a moderate state of health. In the future, towns must take targeted measures to coordinate the relationship between the ecological environment and socio-economic development, and enhancement and releasing must be prioritised.

Study on Evaluation of Beijing-Shanghai High-speed Railway Operation Safety

The study aims to evaluate operation safety level of Beijing-Shanghai High-speed Railway in China. In order to do so, this research establishes a safety assessment index system of Beijing-Shanghai HSR based on AHP firstly. Then based on the fuzzy matter-element theory, with the concept of the Euclid approach degree (EAD), compound fuzzy matter-element for safety level evaluation is established. The results show that Beijing-shanghai HSR is a better operation safety level in China. According to the results, some suggestions on improving Beijing-shanghai HSR operation safety are proposed.

Primary Pollutants and Air Quality Analysis for Urban Air in China: Evidence from Shanghai

In recent years, China's urban air pollution has caused widespread concern in the academic world. As one of China's economic and financial centers and one of the most densely populated cities, Shanghai ranks among the top in China in terms of per capita energy consumption per unit area. Based on the Shanghai Energy Statistical Yearbook and Shanghai Air Pollution Statistics, we have systematically analyzed Shanghai’s atmospheric pollutants from three aspects: Primary pollutants, pollutants changing trends, and fine particulate matter. The comprehensive pollution index analysis method, the grey correlation analysis method, and the Euclid approach degree method are used to evaluate and analyze the air quality in Shanghai. The results have shown that Shanghai's primary pollutants are PM2.5 and O3, and the most serious air pollution happens during the first half of the year, particularly in the winter. This is because it is the peak period of industrial energy use, and residential heating will also lead to an increase in energy consumption. Furthermore, by studying the particulate pollutants of PM2.5 and PM10, we clearly disclosed the linear correlation between PM2.5 and PM10 concentrations in Shanghai which varies seasonally.

Study on the Comprehensive Benefit Evaluation of Transnational Power Networking Projects Based on Multi-Project Stakeholder Perspectives

Interconnection of transnational power grids plays an important role in realizing the optimal allocation of energy resources. It can also deepen regional economic cooperation, achieve energy conservation and emission reduction, and improve people’s livelihood. This paper constructs a comprehensive benefit evaluation index system for transnational power networking projects which is suitable for the four stakeholders of investors, international lending institutions, sending-oriented states, and receiving-oriented states. Therefore, on the basis of this index system, this paper adopted the weight determination method based on the order relation method and Gini coefficient method to synthesize subjective and objective information. Then the comprehensive benefit evaluation of such projects was carried out by matter-element extension model with grey relational projection value. Therefore, the problem with the Euclid approach degree leading to a low discrimination of many samples to be evaluated was effectively solved. The final empirical analysis results showed that the focus and evaluation results of the comprehensive benefits of such projects from the perspective of different stakeholders were quite different. The results of comprehensive benefit evaluation will improve the accuracy of decision-making and the objectivity of evaluation, so as to provide decision-making references for different stakeholders.

Recognition of denatured biological tissue based on variational mode decomposition and multi-scale permutation entropy

It is an important practical problem to accurately recognize whether biological tissue is denatured during high intensity focused ultrasound (HIFU) treatment. Ultrasonic scattering echo signals are related to some physical properties of biological tissues. According to the characteristics of ultrasonic scattering echo signals, the recognition of denatured biological tissues is studied based on the variational mode decomposition (VMD) and multi-scale permutation entropy (MPE) in this paper. The ultrasonic echo signals are decomposed into various modal components by the VMD. The noise components and the useful components are separated according to the power spectrum information entropy of various modal components. The separated useful signals are reconstructed and the MPE are extracted. Furthermore, Gustafson-Kessel (GK) fuzzy clustering analysis is employed to obtain the standard clustering center, and the recognition of denatured biological tissues is carried out by Euclid approach degree and principle of proximity. The proposed method is applied to ultrasonic scattering echo signal during HIFU treatment. In order to determine the parameters of MPE algorithm for ultrasonic scattering echo signals, the embedding dimension of the MPE is discussed, and the scale factor of the MPE algorithm is optimized by genetic algorithm. When the delay time and the embedding dimension are 2 and 7 respectively, the MPE values decrease with scale factor increasing. Assuming that the scale factor is 12 from optimization results, the 293 ultrasonic scattering echo signals from normal tissues and denatured tissues are analyzed by the MPE. It is found that the MPE values of the denatured tissues are higher than those of the normal tissues. The MPE can be used to distinguish normal tissues and denatured tissues. Comparing with the recognition methods of the EMD-MPE-GK fuzzy clustering method and the VMD-WE-GK fuzzy clustering, the proposed method has good clustering performance and separability. Its partition coefficient (PC) is close to 1 and the Xie-Beni (XB) index is smaller. There are fewer feature points in the overlap region between MPE features of denatured tissues and normal tissues. The recognition results of denatured biological tissues in this experimental environment show that the recognition rate based on this method is higher, reaching up to 93.81%.

The evaluation of urban human settlements based on fuzzy matter-element model: taking 11 prefecture-level cities in Jiangxi Province as examples

A case study is presented in which the fuzzy matter-element model (FMEM) is used to assess the evaluation of urban human settlements (UHS) of the basin of the 11 prefecture-level cities in Jiangxi Province. The regional samples and evaluation standards are all treated as the matter-element, and the compound fuzzy matter-element is constructed with the evaluation indicators and the corresponding fuzzy values of the indicators. Then the Euclid approach degree of the evaluated fuzzy matter-element to the standard fuzzy matter-element is calculated, thus attaining the grade classification of human settlements of the evaluated samples. The study results show that the fuzzy matter-element method is practical for comprehensive evaluation of regional human settlements.

Improved TOPSIS method for power distribution network investment decision-making based on benefit evaluation indicator system

PurposeThe aim of this paper is to review the current situation and existing problem, establish investment benefits evaluation indicator system and introduce synthetic approach degree containing Hamming approach degree, Euclid approach degree and gray correlation degree to improve the shortage of Euclidean distance in traditional TOPSIS method, and the evaluation result is strengthened by multiplication rule. This paper aims to solve the distribution network investment decision-making problem and construct a comprehensive distribution network investment benefit indicator system, which is more suitable for China distribution network characteristics.Design/methodology/approachThis study develops improved TOPSIS methods for decision maker in the power distribution network market and uses an example to prove its effectiveness and superiority in practice which can realize the combination of theory and practice.FindingsThe research shows that the investment evaluation indicator system built in present paper covers more investment benefit influencing factors (such as qualified rate of trunk cross-section, pass rate of N-1 lines), and the evaluation result obtained by improved TOPSIS method is more efficient and persuasive.Originality/valueThe study can help investors evaluate distribution network project more efficient, and make contribution to the choice of distribution cases with similar investment benefits.

Comprehensive performance of compound fabrics in terms of electromagnetic shielding and wearability based on the Euclid approach degree of fuzzy matter elements

In this study, we designed electromagnetic shielding fabrics (EMSFs) that consist of composite yarn containing stainless steel fibers. Ten EMSFs with different metal fiber contents and metal grid sizes were examined as research specimens, and tests were conducted to determine electromagnetic shielding effectiveness (EMSE) and wearability indices. The indices were analyzed and the comprehensive performances of the EMSFs evaluated with the fuzzy matter-element method. Experimental results show that the EMSE improved and fabric wearability worsened when metal fiber content increased and metal grid size decreased. Moreover, fuzzy matter-element evaluation findings suggested that the best comprehensive performance was observed in the composite fabric containing 11.71% metal and whose metal mesh measures 1.41 mm2; these features reflect the maximum Euclid approach degree.

Eco-Environmental Assessment of the Low Hilly Area Based on Matter-Element Analysis Method: A Case Study of Pingdingshan City, China

On account of the ambiguity of the concept of eco-environmental quality and the incompatibility of evaluation, the paper takes regional eco-system as "Natural - Economic - Social" complex, with the using of Matter-element Analysis Method, selects the 2012 statistics data source of the study area, gives an effective eco-environmental evaluation of the hilly areas in Pingdingshan city by the calculating of Euclid approach degree. The evaluation results show: Euclid approach degree ρHj (City center) >ρHj (Lushan) >ρHj (Ruzhou) >ρHj (Baofeng), while the number is between 2 and 3. It showed that the eco-environment quality in Pingdingshan hilly areas is good, waiting for further improvement. It offers the scientific basis and countermeasures for the restoration and further development of the eco-environment in this area.

Dynamic Comparison Studies on Development of Low-Carbon City in Beijing-Tianjin-Hebei Region

To study development of low-carbon city has significant meaning for transformation of city in China. This paper takes the DPSIR model as the basis to construct a low-carbon city evaluation index system in Beijing-tianjin-hebei region. By constructing the compound fuzzy matter-element, using the entropy weight method and formula of Euclid approach degree, calculates the closeness of low-carbon city from 2007 to 2011 in Beijing-tianjin-hebei region. The results showed that low-carbon city development in Beijing is better than it in Tianjin and Hebei, however, considering the component, some questions remain, city pressure and urban pollution in Beijing area are higher than its in Tianjin and Hebei and so on.

Sustainable Utilization of Regional Water Resource in Yin Chuan City Based on Fuzzy Matter-Element Model

In order to evaluate regional water resources sustainable utilization, Twenty-six indexes evaluating system is established. On the basis of the fuzzy matter-element analysis and combined with the concept of Euclid approach degree. Through calculating entropy and euclid approach degree between the fuzzy matter-element and the standard (the best) fuzzy matter-element, it can achieves to development and utilization phase of regional water resources and its optimum order in Yinchuan city.

Evaluation of the synergetic gas-enrichment and higher-permeability regions for coalbed methane recovery with a fuzzy model

Determination of the synergetic region with both coalbed methane (CBM) enrichment and higher permeability and its distribution is fundamentally crucial to optimize well design and pattern arrangement for CBM recovery from coal. To address this issue, a predictive model was developed based on fuzzy theory by taking into account the main geological factors that affect the gas enrichment and permeability in coal reservoirs. Following the statistical analysis on a number of geological parameters, Euclid approach degree (a comprehensive evaluation coefficient) and fuzzy matter-elements were determined and integrated into the model. The information entropy method was used to evaluate the effect weight of each geologic factor on overall object of the synergetic gas-enrichment and higher-permeability region. The model was applied to the coal seam No. 3 of a developing coal block in the south of Qinshui basin as an example. The results show that the geological factors such as coal rank, gas saturation, coping thickness, transitional coal structure, and volatile content determine the distributions of the synergetic gas-enrichment and higher-permeability region with higher weight coefficients over 9%. Compared with these key factors, the factors such as coal thickness, gas content, methane concentration, ash content, principal stress difference, fracture density, porosity, and burial depth have only the weight coefficients of <5% and their effects on the synergetic region are very limited. The other factors including reservoir temperature, groundwater level, minimum principal stress, and water content exhibit the moderate impact featured by the weight coefficients varying from 5% to 9%. The model prediction provided a flood/contour map to visualize the synergetic gas-enrichment and higher-permeability regions. With this map, the selected coal block can be classified as extremely favorable, favorable, relatively favorable and unfavorable areas for CBM recovery based on the Euclid approach degree. The extremely favorable and favorable areas mainly distribute in the center and the southwest of the coal block; the relatively favorable area locates in most part of the coal block; unfavorable area dispersedly distributes in the south along the east-west direction. The distribution of the synergetic regions is obviously controlled by the coal structure. The prediction results were verified with the distributions of most CBM wells performed in the same coal block, showing that the model prediction is reasonably agreeable with reality. The model developed in this study can be used as a feasible tool to predict the favorable well locations and optimize the well patterns for CBM recovery.

Refitting Sites Selection of Ocean Trawler Based on Fuzzy Matter-Element Model and Information Entropy Theory

Refitting sites selection of ocean trawler in wartime, is affected by a variety of technical factors and other factors such as organization, planning, management, and so on. The index system is given by detailed analysis of the influence factors. A fuzzy matter-element model is built up in view of the fuzziness and incompatibility of the indexes, combining quantitative analysis with qualitative analysis, with quantifying the qualitative indexes by linguistic variables and fuzzy numbers. The information entropy theory is used to calculate the value of index weights, to reduce the subjective randomness. The multi-objective selection problem is transformed into the single-object decision by Euclid approach degree. The example shows that the method is very practical and the result is objective.

Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Taking account of the fuzzy results of the seepage monitoring analysis of roller compacted concrete (RCC) dam and uncertainties of the individual indicator evaluation, the fuzzy matter-element model of seepage monitoring of RCC dam analysis has been established with the use of the fuzzy matter-element analysis theory and the concept of euclid approach degree. The use of entropy theory can calculate the weighting factor through the disorder utility values of the information reflected by the data itself, which can effectively avoid the problems of weight distribution and uncertainties of subjective judgments of the seepage monitoring analysis of roller compacted concrete dam. And further the example shows that the analysis of entropy-based fuzzy matter-element analysis model of the seepage monitoring of roller compacted concrete dam is in accordance with the actual situation, which verifies the effectiveness of the method.