Unascertained Measure Research Articles

Hazard degree identification and coupling analysis of the influencing factors on goafs

In China, there are a large number of mined-out area which bring a great hidden danger to the mine enterprise’s safety production and people’s life and property. Therefore, the stability evaluation and the mechanism analysis of goafs have become a hot issue in the study on sustainable development of mining industry. To solve the complexity, concealment, and uncertainty of goaf influencing factors, 14 factors, i.e., rock mass structure, goaf span, exposed area, and so on, were selected as the evaluation indexes according to an iron ore. Then, the hazard evaluation model of goaf was established by using the information entropy and the unascertained measurement (UM) theory to identify the hazard degree, and the hazard importance degree index was put forward by changing the influencing factors and its index value to quantitatively analyze the coupling degree of influencing factors. This paper takes the BFZ-8 goaf as an example to evaluate and analyze the goaf stability. The results show that the evaluation model about UM and the experimental schemes are feasible and practicability, and the UM evaluation grades are consistent with the fuzzy evaluation grades and the actual risk grades in the case of multi-factor coupling. And the experimental results quantitatively reflect the coupling degree of the influencing factors by comparing the relative change rate of the importance degree, and the coupling results are consistent with the actual situation. So, the method can guide the production safety of mine, protect life and property safety of miners, and provide technical support and a new method for hazard degree identification of the goaf.

Unascertained measure model of water and mud inrush risk evaluation in karst tunnels and its engineering application

Water and mud inrush is one of the typical geological disasters during tunnel construction in karst areas. In order to effectively control the water and mud inrush risk and guarantee the safety of tunnel construction, an unascertained measure model of water and mud inrush risk evaluation is established based on unascertained measure theory. First, according to geological factors and engineering factors in tunnel zone, unfavorable geology, formation lithology, ground water level, topography and geomorphology, attitude of rocks, contact zones between soluble rock and non-soluble rock, crack in rock stratum, surrounding rock grade, construction technology level, and management level are selected as risk evaluation indexes of water and mud inrush, which constitutes the index system of water and mud inrush risk evaluation. Through collecting and collating information of typical water and mud inrush examples of karst tunnels, the uncertainty measure function of each evaluation index is obtained based on the measured data. Meanwhile, the index weight of each factor is ascertained by entropy-information theory, and the risk grade of water and mud inrush is judged by credible degree recognition criteria. In engineering application, the water and mud inrush risk of Qiyueshan tunnel is evaluated based on the established unascertained measure model. The results show that: (1) The evaluation results agree well with practical construction situation. (2) The unascertained measure model is scientific and reasonable, which can achieve the risk level evaluation of water and mud inrush systematically. (3) The unascertained measure model provides an effective method for water and mud inrush risk evaluation of karst tunnels, which can be applied to practical engineering.

China Coal Industry International Competitiveness Research Based on Unascertained Clustering

The unascertained clustering is a new clustering method, which combines unascertained theory and clustering theory to construct the unascertained measure, and uses the unascertained measure as set membership to indicate the membership relation between the samples with the different classes. It overcomes the disadvantage of means clustering algorithm, that a sample definitely belongs to a class, which made greater progress than -means clustering. There are complex non-linear relationship between the coal industry competitiveness and various factors. The article established the evaluation influencing factors system of coal industry international competitiveness. 6 unascertained clustering method to cluster competitiveness. It found out each class center, and gave the membership degree of the samples belong to each class, which better resolved the problem of classifying the coal industry international competitiveness.

Evaluation of Sustainable Development of Resources-Based Cities in Shanxi Province Based on Unascertained Measure

An index system is established for evaluating the level of sustainable development of resources-based cities, and each index is calculated based on the unascertained measure model for 11 resources-based cities in Shanxi Province in 2013 from three aspects; namely, economic, social, and resources and environment. The result shows that Taiyuan City enjoys a high level of sustainable development and integrated development of economy, society, and resources and environment. Shuozhou, Changzhi, and Jincheng have basically realized sustainable development. However, Yangquan, Linfen, Lvliang, Datong, Jinzhong, Xinzhou and Yuncheng have a low level of sustainable development and urgently require a transition. Finally, for different cities, we propose different countermeasures to improve the level of sustainable development.

Evaluation on the Express Enterprise's Service Quality of Customers Perception Based on SPSS and Unascertained Measure Model

Evaluation on the Express Enterprise's Service Quality of Customers Perception Based on SPSS and Unascertained Measure Model

Application of improved unascertained mathematical model in security evaluation of civil airport

In view of the defects of the civil airport security evaluation and the uncertain factors in it, a new civil airport security comprehensive evaluation method was proposed based on the improved unascertained measure theory. The research shows that: Firstly, the unascertained functions meet the requirements of non-negativity, additivity and normalization, which are the most obvious differences between unascertained mathematical functions and fuzzy membership functions; the unascertained functions of different indicators could be different as well as the unascertained functions of the same index on different grades. Secondly, introducing the concept of entropy, which is based on objective data, greatly reduces the subjectivity of the weight. Thirdly, the credible degree theory is introduced to analyze the comprehensive measurement vector, the range of which is usually between 0.6 and 0.9. Finally, when comes to the security evaluation of multi-airports, if these airports’ security situation belong to one level, comprehensive safety score of each airport could be calculated according to the comprehensive measure vector, on the basis of which the security situation of each airport could be compared. The example shows that the method is simple and effective.This study provides a new way for the security evaluation of civil airport.

Selection of project delivery approach with unascertained model

Purpose – The construction project is implemented under uncertainty environment, and the product of construction is very complex. Selecting a project delivery system/approach is a critical task, which determines the project schedule, quality and investment objectives. The purpose of this paper is to propose a decision-making model for the selection of project delivery system which is based on information entropy and unascertained measure model. Design/methodology/approach – A decision-making model based on information entropy and unascertained set is employed to select project delivery approach. In order to overcome the subjective evaluations from the experts, the theory of “entropy weight” is applied to modify the experts’ subjective weight. The multi-attribute unascertained measure decision making is fitted to deal with the uncertainty information for selection of project delivery system. Findings – The proposed methodology is more comprehensive compared with the previous work, especially in the uncertainty environment. Research limitations/implications – There is some further work that should be considered, such as how to deal with the imprecise and subjective information given by the experts; how to determine the weight of the experts’; finding a set of importance factors influencing the selection of a delivery system is a complex task to further research. Practical implications – The proposed method can help the construction owner to select a most fitted project delivery system of a construction project. Originality/value – A new approach to select project delivery approach is proposed based on information entropy and unascertained set.

Unascertained Measure Evaluation in Financial Distress Prediction of Listed Company

Evaluation system of financial distress prediction of listed company was established base on the non-financial index cooperated with financial index widespread. And the procedure of the application of unascertained measure model to financial distress prediction was stated in brief. We focused on a certain listed company of Harbin city in Heilongjiang Province, the results showed that the financial risk of this company was moderate-warning according unascertained measure model. It was found that the application of unascertained measure model to financial distress prediction of listed company was feasible. Meanwhile, this method solved the problem of the weight which was presented subjective judgment in market evolution, and promoted the market process fairer and more scientific. The unascertained measure model was very worthy of research significance and prospect.

Effect Evaluation of Bench Blasting Based on Unascertained Measurement Model

In order to resolve the uncertainty problem of influence factors in effect evaluation of bench blasting, the effect evaluation model of bench blasting based on uncertainty measurement theory was built, then this model was used to evaluate the bench blasting effect in Hongshuitai flat engineering. The evaluation results show that: the information entropy and confidence identifying criterion were respectively used to ascertain the evaluation index weight and identifying criterion, by these ways, the evaluation results of this model are more objective; and the evaluation index can be selected flexibly according to actual situation, the calculation of evaluation model is simple, so the evaluation results can offer decision basis for blasting workers to make timely adjustment of the blasting scheme.

Safety Evaluation in Emulsion Explosive Continuous Manufacturing Based on Unascertained Measurement Model

In order to resolve the problems that many units are intersect and mutual restraint in the safety evaluation of emulsion explosive continuous manufacturing, the safety evaluation model based on uncertainty measurement theory was built, then this model was used to evaluate the safety of emulsion explosive continuous manufacturing in one explosive industry. The evaluation results show that: the information entropy and confidence identifying criterion were respectively used to ascertain the evaluation index weight and identifying criterion, by these ways, the evaluation results of this model are more objective; and the evaluation units can be selected flexibly according to actual situation, the calculation of evaluation model is simple, so the evaluation results can offer decision basis for explosive industry to make good management.

Evaluation of Non-Coal Mines Safety Emergency Capacity Based on Unascertained Measurement Model

Based on the uncertainty measurement theory, considering evaluation indexes of monitoring, personnel positioning, emergency actions, compressed air self-help, water rescue and communication, a mining emergency combat capability evaluation model is built to solve the difficulty of non-coal mine safety evaluation. This model is proposed to many uncertainty factors of safety evaluation of non-coal mine, according to the actual situation, carries on quantitative analysis, calculates indexes’weight, conducts grade decision by confidence identification criteria, then derives results of non-coal mine safety evaluation. This method is used to evaluate a certain six systems of non-coal mine. Compared with expert appraisal conclusion, the result shows consistency, therefore uncertainty measurement model is reasonable.

Software quality evaluation and forecast based on unascertained-SVR model

The software quality is a comprehensive fuzzy evaluation problem which might be divided into different layers based on its attributes. An unascertained-SVR measure for evaluating and forecasting the quality of software is established on the basis of analysing the factors affecting the quality risks of software system by applying the unascertained measure theory. Therefore, a new system is found to evaluate software quality based on the knowledge of software project. Then, the quality of software is evaluated and predicted by introducing a new mathematical model - Support Vector Regression SVR model. SVR is one of the best events on dealing with small samples, avoiding the defects of neural network that is easy to fall into local minimum and lower accuracy rate. Finally, the practical application shows that the method overcomes the defect that the variable set by experts, then makes the evaluation results objective and scientific.

The Safety Assessment of Unpowered Mooring Vessel Based on Unascertained Measure

The safety of the unpowered mooring vessel was influenced by human factors, vessel condition, meteorological factors, hydrological and environmental factors. To ensure the safety of the unpowered mooring vessel during mooring, on the basis of unascertained measure evaluation model, the method of Monte Carlo and interval weight was put forward to assess the safety of the vessel. This method enables policymakers, in the treatment of evaluation, to avoid weighing the key factors from the traditional model. It also provides more valid intervals for policymakers while dealing with uncertain information of safety elements and errors caused by human preference. Through a random value of interval weight using Monte Carlo simulation method, the final average value of the simulation is taken as the final weight. Finally, a 16000t unpowered mooring cargo vessel is taken as an example to have a detailed discussion of the application of this method, and a safety result is obtained according to each key element. This method can provide new evaluation method and references to policymakers concerned.

The Energy-Saving Evaluation of Construction Site Based on Green Building and Unascertained Measure

As society advances, green building has become a fundamental issue. According to the green building system to determine the effect index system of energy saving on the construction site.Using the basic theory of the unascertained function, the unascertained model was constructed to evaluate energy conservation in construction process. The target of this method is minimum energy consumption in the whole system of construction. Through using the method of combining qualitative and quantitative analysis, to quantify the qualitative indicators in the evaluation of energy saving, and make quantitative analysis and energysaving evaluation. Example analysis shows that the evaluation results can be more objective and comprehensive to reflect energysaving condition of the construction enterprises during the process of construction management.

Screening Model of Collaborative Manufacturers Based on Information Entropy and Unascertained Measure

Screening Model of Collaborative Manufacturers Based on Information Entropy and Unascertained Measure

With the Model of Information Entropy and Unascertained Measure to Evaluate Science Popularization Talents

With the Model of Information Entropy and Unascertained Measure to Evaluate Science Popularization Talents

Comprehensive Evaluation Method for Ecotype and Safety Performance of Building

The ecotype and safety performance of urban buildings is affected by many factors. The evaluation method of unascertained measure model has been adopted, through analyzing the traits of the evaluating method and building performance indexes. Based on analyzing and researching, a relatively integrated evaluation indexes system has been established in this paper. The advantages and disadvantages of all factors have been shown out through analysis. Through factual application, the viability and maneuverability of this method has been confirmed. At the same time, the analysis results will provide scientific decision-making for improving the ecotype and safety performance of urban buildings.

Integrating unascertained measurement and information entropy theory to assess blastability of rock mass

Due to the complex features of rock mass blastability assessment systems, an evaluation model of rock mass blastability was established on the basis of the unascertained measurement (UM) theory and the actual characteristics of the project. Considering a comprehensive range of intact rock properties and discontinuous structures of rock mass, twelve main factors influencing the evaluation blastability of rock mass were taken into account in the UM model, and the blastability evaluation index system of rock mass was constructed. The unascertained evaluation indices corresponding to the selected factors for the actual situation were solved both qualitatively and quantitatively. Then, the UM function of each evaluation index was obtained based on the initial data for the analysis of the blastability of six rock mass at a highway improvement cutting site in North Wales. The index weights of the factors were calculated by entropy theory, and credible degree identification (CDI) criteria were established according to the UM theory. The results of rock mass blastability evaluation were obtained by the CDI criteria. The results show that the UM model assessment results agree well with the actual records, and are consistent with those of the fuzzy sets evaluation method. Meanwhile, the unascertained superiority degree of rock mass blastability of samples S1–S6 which can be calculated by scoring criteria are 3.428 5, 3.453 3, 4.058 7, 3.675 9, 3.516 7 and 3.289 7, respectively. Furthermore, the proposed method can take into account large amount of uncertain information in blastability evaluation, which can provide an effective, credible and feasible way for estimating the blastability of rock mass. Engineering practices show that it can complete the blastability assessment systematically and scientifically without any assumption by the proposed model, which can be applied to practical engineering.

The Evaluation on Finance Ecological Environment using Unascertained Measure and Fuzzy Analytic Hierarchy Process

The Evaluation on Finance Ecological Environment using Unascertained Measure and Fuzzy Analytic Hierarchy Process

Energy-Saving Effect Evaluation Research of the Existing Residential Building in North China Area Based on Unascertained Measure Theory

Evaluating energy-saving effect plays an important role during the transformation on existing residential buildings for energy saving in cold area of north China. A relative index evaluation system of the energy efficiency in residential buildings is formed according to relevant energy-saving standards of the Ministry of Construction of China and the present situation in this area . Then a comprehensive evaluation model is built based on entropy and Unascertained Measure theory, and through an example to verify the applicability and feasibility of the model.