Fuzzy Matter-element Theory Research Articles

Improved Evidence Fusion Theory for the Safety Assessment of Prestressed Concrete Bridges

The safety condition assessment of prestressed concrete bridges is currently subject to great uncertainty due to the subjectivity of data collection and data types. This study proposes an improved evidence fusion method, improving the conventional Dempster–Shafer fusion method to reduce assessment inaccuracies caused by data uncertainty. Firstly, the uncertain analytic hierarchy process was applied to construct a three-level safety assessment model for 15 different indicators with their initial weights. Secondly, the fuzzy matter element theory was proposed to obtain basic probability assignments required for the evidence fusion. Finally, an improved evidence fusion method was proposed based on the evidence credibility and preprocessing corrections for highly conflicting evidence. In this study, a prestressed concrete bridge in eastern China was used as a case study to perform a comprehensive safety assessment and verify the effectiveness and practicality of the proposed method. The assessment results demonstrate that the improved fusion method in this study can deal with conflicting evidence better than existing fusion methods. Compared with conventional fuzzy AHP method, it has greater sensitivity to certain indicators with severe damages, which prevents those indicators from being overshadowed by other well-performing ones in the overall assessment.

Study on quantitative estimation method of energy saving and emission reduction of renewable energy system based on fuzzy matter-element method

The quantitative estimation method of energy saving and emission reduction of renewable energy system based on fuzzy matter-element method is studied, which provides reliable basis for the popularization and use of renewable energy system in practical work. Through quantitative estimation, a scientific evaluation index system and evaluation model can be established, transforming abstract and subjective concepts of energy conservation and emission reduction into concrete and objective numerical indicators. These indicators can reflect the energy-saving and emission reduction effects of renewable energy systems, making the evaluation results scientific, comparable, and traceable. The quantitative estimation index system of energy saving and emission reduction of renewable energy system and the index judgment standard are constructed, which are mainly composed of resource utilization, energy consumption and environmental pollution. On this basis, the fuzzy matter-element quantitative estimation model of energy saving and emission reduction of renewable energy system is established based on fuzzy matter-element and entropy weight theory, and the weight of energy saving and emission reduction index of renewable energy system is determined based on information entropy, and the energy saving and emission reduction effect of renewable energy system is comprehensively and quantitatively estimated with closeness as a reliable basis and reference. The experimental results show that this method can quantitatively evaluate the energy-saving and emission reduction effects of renewable energy systems, and it is feasible to comprehensively and quantitatively evaluate the energy-saving and emission reduction effects of renewable energy systems, with a maximum emission reduction of 99%. It can provide reliable reference for the energy-saving and emission reduction of renewable energy systems.

Entropy weight TOPSIS evaluation of enterprise internal control quality based on fuzzy matter-element model

A TOPSIS evaluation index system of entropy weight of enterprise internal control quality based on fuzzy matter-element model was established to master the enterprise internal control quality comprehensively and analyze its influences on enterprise innovation performance accurately. Firstly, a composite fuzzy matter-element model was established based on the fuzzy matter-element theory. Secondly, weights of evaluation indexes were determined by the entropy weight method. Thirdly, the concept of relative closeness was developed by comparison with positive and negative ideal indexes. Finally, the internal control quality levels of 781 listed companies in Chin were measured by TOPSIS method. Results show that: weights of five level-1 indexes for enterprise internal control quality evaluation are different. Specifically, weights of Law & Regulation, Operation and Strategy are higher than those of Financial Statements and Assets Safety. In the level-2 index system, weights of “major litigation and arbitration cases”, “turnover of total assets” and “Tobin’s Q” occupy 66% of total weights. Listed companies which occupy the top10 position in term of internal control quality mainly belong to industries requiring strict monitoring and control over safety production. Enterprise internal control quality differs significantly among different industries. Research conclusions can provide methods and practical references to evaluate internal control quality of Chinese enterprises.

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.

Health Status Evaluation of Catenary Based on Normal Fuzzy Matter-Element and Game Theory

At present, there is no unified standard for the health status evaluation of electrified railway catenary in China. The current catenary evaluation model only considers quantitative detection indicators, without qualitative indicators such as weather, which is one-sided to some extent. Thus, an improved catenary status evaluation model is constructed with both quantitative indicators and qualitative indicators. In this evaluation model, the normal fuzzy matter-element method is used to determine the correlation value of each grade, and the weighted average principle is used to re-determine the status grade of catenary when the maximum correlation principle fails. Meanwhile, entropy weight method and particle swarm optimization algorithm to optimize analytic hierarchy process method are combined to improve the shortcomings of single weight method, and game theory is used to determine the subjective and objective weight coefficients, so as to reduce the influence of subjective experience. Select a Chinese railway catenary in 2018 as an example for verification analysis, the results show that the model constructed in this paper can effectively help professionals to make correct judgments on the health status of catenary, and provide a new idea and method for the comprehensive evaluation of the catenary operation status, which has certain practicability.

Energy Efficiency Evaluation of Industrial Heat Exchangers Based on Fuzzy Matter Element Method

According to the energy consumption status of industrial heat exchanger in the whole life cycle, the energy efficiency evaluation index system of industrial heat exchanger is put forward firstly. Secondly, aiming at the complexity and fuzziness of energy consumption of industrial heat exchanger, the energy efficiency evaluation model of industrial heat exchanger based on fuzzy matter-element method is established by using fuzzy matter-element theory and combining the concept of Hemingway schedule. Finally, taking the shell-and-tube heat exchanger as an example, five shell-and-tube heat exchangers with different designs and materials were selected to analyze their energy consumption advantages and disadvantages. Via calculation and analysis, the optimal energy efficiency design of the shell-and-tube heat exchanger was obtained. At the same time, reference opinions were provided for the design and manufacture of the shell-and-tube heat exchanger.

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.

Shale gas industry sustainability assessment based on WSR methodology and fuzzy matter-element extension model: The case study of China

Shale gas plays an important role in energy transformation. The sustainable development of the shale gas industry is a prerequisite for achieving an efficient, green, and long-term use of shale gas resources. This paper uses the WSR (Wuli-Shili-Renli) methodology to determine a comprehensive indicator system for assessing the sustainability of the shale gas industry. Game theory was used to combine two objective weighting methods and determine the comprehensive weight. The sustainability of the shale gas industry was evaluated based on the fuzzy matter-element extension theory. The results of the evaluation show that the overall sustainable development of China’s shale gas industry is relatively poor. Shale gas industry in most regions is in a critically sustainable state (The critically sustainable state indicates the sustainability of the shale gas industry in general. The industry as a whole has the basic conditions for sustainable development in the short term; however, efficiency needs to be further improved to avoid the risk of degradation.) and is susceptible to degradation due to environmental changes. The shale gas industry in a few other regions is in an unsustainable state and cannot achieve an efficient and green development of shale gas. This paper evaluated the sustainability of the shale gas industry from a unique perspective. It is expected that the results of this research will contribute to the formulation of sustainable development strategies and further promote the green development of the shale gas industry.

Development and Application of Ancient Timber Buildings Structural Condition Assessment Model Based on a Fuzzy Matter-Element Model that Includes Asymmetric Proximity

To properly protect ancient buildings, it is vitally important to determine the health status of these structures in a timely manner. To easily, quickly, reliably, and quantitatively assess the structure health of ancient timber buildings, this paper proposes a structure health assessment method based on fuzzy matter-element theory improved by asymmetric proximity, and the specific assessment steps are given. First, a fuzzy matter-element model is constructed; then, to effectively solve the failure problem of the maximum membership principle, the fuzzy matter-element assessment model is improved by using the theory of asymmetric proximity. The weights determined by the entropy weight and clustering methods are then combined through the game theory combination weighting concept and, finally, the structural condition of the ancient timber buildings is classified into five grades: I favorable, II ordinary, III poor, IV inferior, and V dangerous. Ten evaluation factors were chosen: bearing capacity of the foundation soil, subbase deformation, foundation damage, column and foundation connection, bearing capacity of members, connection construction, member deformation, crack slope, crack depth, and decayed/insect attacked. Taking a building built in the Republican Period in Sino-Ocean Taikoo Li, Chengdu, as an example, this model was used to assess the building’s structural condition. The results show that this method is feasible to quantitatively assess the structural condition of ancient timber buildings. It is a simple and practical assessment method that can provide a decision-making basis for maintenance, protection, and reinforcement of ancient timber buildings.

Factor and trend analysis of total-loss marine casualty using a fuzzy matter element method

World shipping activities are operated in a complex and risky environment. The global marine casualty governance and shipping safety problems are issues of common concern of all maritime countries. Total-loss marine casualties are the nightmares and the most serious shipping accidents to the world, which may cause huge economic losses, the loss of lives, and severe marine environmental pollution. This study develops a fuzzy matter element method to analyse the main contributing factors of world total-loss marine casualty, the evolution trend of the total losses caused by different contributors is also evaluated with the proposed models. In this paper, according to the practice of the world shipping industry, we firstly select ten main contributors of the world shipping total losses, and the evaluation framework and mathematical models are established based on fuzzy matter element theory. Then the paper introduces the detailed evaluation procedures and methods. Finally, we select the historical data of world total-loss marine casualty from 2001 to 2015 for an empirical study of the proposed models, verifying practicability and validity of the method introduced in this paper. The results of this study are beneficial to government departments and policy makers in proposing reasonable and effective strategy to control and prevent the total-loss marine casualty in world shipping industry.

Risk-based estimate for operational safety in complex projects under uncertainty

This paper presents a hybrid risk-based estimate approach that integrates the fuzzy matter-element theory and Monte Carlo simulation method to assessing the safety risk of operational tailings ponds and sensitivity of influential factors under uncertainty. The fuzzy matter-element theory is used as a reasoning tool to solve contradictory problems with fuzziness and randomness; while the Monte Carlo simulation method acts as a tool for describing and reducing uncertainty by using probability distributions. The novelty lies in an improvement to both the conventional Deterministic Estimate (DE) approach and existing Risk-Based Estimate (RBE) approaches that mainly focus on the project cost/schedule estimate, as the proposed approach can not only estimate the system safety under uncertainty, but also perform sensitivity analysis. A comprehensive index system consisting of 22 influential factors is developed for the assessment of safety risk of tailings ponds in operation. A confidence indicator θ is proposed to verify the reliability of assessment results. A Spearman’s rank correlation coefficient is used as a sensitivity measure to identify significant factors by discovering the sensitivity of the system performance to minor changes in input factors. Six large tailings ponds in China are selected as a case study for assessing the magnitude of safety risk and sensitivity of influential factors, in order to demonstrate the feasibility and applicability of the developed approach. Results indicate that the developed approach is capable of (i) synthesizing multi-source information in decision making, (ii) addressing uncertainty in complex project environments, and (iii) achieving dynamic risk analysis over time. This approach can be used by practitioners in the industry as a decision tool for system safety analysis and assessment under uncertainty, providing insight on improving the safety performance of existing tailings ponds in a continuous manner.

A Novel Assessment Method of Charging Station Planning Based on Fuzzy Matter Element Theory

Scientific and rational planning of urban electric vehicles (EVs) charging station is an important prerequisite for large scale EVs interact with smart grid friendly. This article realizes the planning assessment of EV charging station based on fuzzy matter element theory. The features of urban EV charging station are analyzed, and the evaluation index system of alternative charging station is established. The paper applies fuzzy matter element analysis method to obtain the optimal fuzzy matter element sequence with alternative points, and as a reference sequence. The weights of alternative points corresponding evaluation index are obtained by entropy method. Then, the paper applies the gray correlation analysis to calculate the gray relational weighing degree of fuzzy matter element sequence of alternative points, and determine the EV charging station plan based on the size of gray relational weighing degree. Finally, the simulation results show that the proposed method is effective and feasible for EV charging station planning.

Development of a fuzzy analytical network process to evaluate alternatives on vitamin B12 adsorption from wastewater

Abstract The use of adsorption methods to recover vitamin B12 (VB12) from wastewater has been increasingly studied. However, there is a lack of knowledge on optimization of the methods. This study established a feedback network to evaluate alternatives regarding VB12 adsorption from wastewater. The network comprises environmental, economic and technological criteria and their feedbacks. Based on the network, the fuzzy matter-element theory was integrated with an analytical network process to rank the alternatives. Among five alternatives, activated carbon with KOH as activation media was suggested to be the optimal alternative for VB12 recycling from wastewater, while mesoporous activated carbon fibre was the least preferred alternative. Particularly, the adsorption technology reusing biomass ranked second to the optimal alternative, and has great application potential due to low costs and biological waste reuse. Sensitivity analysis does show that the ranking of alternatives was robust and was not subject to the change in weight.

Health evaluation of a regional logistics industrial ecosystem in China based on fuzzy matter-element analysis method

The construction of a regional logistics industrial ecosystem elicits increasing attention because of the growing awareness of environment protection, and its health evaluation by considering environmental impacts is one of the kernel problems that must be addressed to promote the development of regional logistics. In this study, a comprehensive methodology based on fuzzy mathematics and matter-element analysis theory was presented to accurately evaluate the health status of the regional logistics industrial ecosystem in China. First, the forming mechanism and influencing factors of regional logistics industrial ecosystem were analyzed. Second, a fuzzy matter-element model was constructed to evaluate the regional logistics industrial ecosystem, and the weights of characteristic values of evaluation indexes for fuzzy matter-element were obtained using entropy decision method. Finally, this proposed method was applied to evaluate the logistics industrial ecosystem health of eight provinces in China. In this case, these evaluation indexes include energy consumption, logistics cost, and CO2 emissions. The results show that this method is feasible and effective, and demonstrate the promising application of the proposed model in evaluating the health status of a regional logistics industrial ecosystem and in supplying reliable data for the environmental protection of regional logistics activities.

Predicting rockburst tendency based on fuzzy matter–element model

Rockburst is a dynamic phenomenon caused by multiple factors associated with mining excavations and activities. It is very hard to make predictions accurately. In this study, a multi-index model, based on fuzzy matter–element theory, information entropy theory and closeness degree rules, are established to predict rockburst tendency. The basic evaluation indices introduced in this model include the rock brittleness coefficient B, the strength/stress ratio Rc/σ1, the impact energy tendency WCF, and the rock integrity coefficient Kv. Ore body 10 of Huize Lead–Zinc Mine in China is selected as a case study for the establishment of the model, while the C1b and ore straum served for the model verification. In different rock strata, this model is compared with the origin methods for predicting the rockburst tendency. The results are compared with those obtained by other traditional methods. The cases verified that the proposed model can predict rockburst in a reliable mode; this is a meaningful discovery for predicting rockburst tendency.

A new method to evaluate fabric shape style based on motion capture

This study proposes a new method to evaluate the fabric shape style. Two high-speed CCD cameras are used to capture dynamic image sequences of the fabric motion. Then, the theory of binocular stereo vision is applied to obtain the 3D coordinates of the feature points in the fabric image sequences. The characteristic parameters that represent the motion style of the fabric are extracted, and fuzzy matter-element theory is applied to evaluate the fabric shape style. This method differs from traditional ones in which multiple measurements and multiple indexes are required to evaluate the fabric. The proposed method is simpler and more convenient; it can be used to evaluate the fabric style using only visual information differences between various fabrics and by one non-contact measurement of the fabric motion.

The Evaluation in Fuzzy Matter-Element Theory Based on Hybrid Weight

Because the personnel quality evaluation at home and abroad is mostly too subjective, it could not satisfy the requirement for the objective and effective evaluation, the fuzzy matter-element evaluation theory and realization based on the hybrid weight is proposed in this paper. The objective weight and subjective weight is Respectively proposed using the entropy method and the analytic hierarchy process, and the hybrid weight is formed by the objective weight and subjective weight using the weight coefficient,thus the model of fuzzy matter-element evaluation theory based on hybrid weight is constructed. This method Overcomes the drawback that the evaluation index weight is too subjective, solving the problem that the qualitative indicators in the evaluation process is difficult to accurately measure and describe, the combination of subjective and objective factors affect improves the accuracy of the evaluation. The experimental results show that, the evaluation accuracy of the method for railway maintainer is more than 90% , this method effectively improves the detection accuracy compared to other methods. It provides the managers with a set of effective evaluation system and method.

Urban Ecological Safety Evaluation Based on Fuzzy Matter-Element Theory

There are many tourism cities in China and sustainable development of urban tourism has become an important field of tourism research. An ecological safety evaluation index system of tourism city was constructed. The evaluation index system was composed of resource, environmental, economic and social subsystem. Then an evaluation model based on fuzzy matter-element theory was established. Finally a case study on Kaifeng city was developed. The results showed that there was a tendency of gradual improvement in ecological safety condition of Kaifeng city. However, ecological safety condition during the period belonged to critically safe grade. Therefore, ecological safety condition of Kaifeng was unsatisfactory. The study can provide scientific basis for decision-making of local governments and concerned departments, help people know the influences of tourism activities on ecological environment scientifically and timely, and help tourists advance ecological consciousness. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4659 Full Text: PDF

Application of Fuzzy Matter-Element Model Based on Cooperative Game Weight in Evaluation of Groundwater Carrying Capacity

A fuzzy matter-element evaluation modeling based on cooperative game weight (FME-CGW) is presented in this paper. Based on cooperative game theory, authors introduce a cooperative game weight which embodying an idea of competition and coordination among different weight methods. Based on the cooperative game weight, employing fuzzy matter-element theory and Hamming approach degree, the authors develop FME-CGW model. The derived model is applied to assess the groundwater resources carrying capacity in Guanzhong plain in Shaanxi province. The results are reasonable and satisfactory by comparing to other methods. The study of this practical example shows that the modeling presented in this paper is a new method with simple algorithm and strong practicability, which can be adopted to analysis various comprehensive evaluation issues.