scholarly journals Environmental risk evaluation of overseas mining investment based on game theory and an extension matter element model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hujun He ◽  
Rui Xing ◽  
Ke Han ◽  
Junjie Yang
Keyword(s):  
Game Theory ◽  
Environmental Risk ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
The Philippines ◽  
Risk Level ◽  
Classical Domain ◽  
Entropy Weight ◽  
Weighting Method ◽  
Mining Investment

AbstractTaking into account the limitations of the single weighting method presently used for the environmental risk evaluation of overseas mining investment, an improved extension evaluation method based on game theory was developed. The method was then applied to real data from the Philippines and used to establish the congener element object and classical domain of the environmental risk of mining investment in the Philippines, based on extension matter element theory. The optimal index weights, based on a balance of subjective and objective results, were obtained from game theory, the analytic hierarchy process, and entropy weight theory. This enabled calculation of the association function values of evaluation indexes in the Philippines and the environmental risk level of overseas mining investment. Finally, given the weighting and association function values, the environmental risk level of mining investment in the Philippines was determined to be level II (higher risk). These results show that the proposed model is effective for evaluating the environmental risk of overseas mining investment.

Risk Assessment of Reservoir by Fuzzy Comprehensive Evaluation Method Based on Information Entropy

2013 ◽  
Vol 438-439 ◽  
pp. 1612-1618
Author(s):  
Yong Jia Song ◽  
Cong Cong Jin ◽  
Xian Cai Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Information Entropy ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Risk Level ◽  
Entropy Weight ◽  
Weighting Method

This paper proposes a new risk assessment model on account of the fuzziness and uncertainty of risk factors in the reservoir after earthquake. The paper adopts methods of information entropy and fuzzy mathematics to assess risk level of the model. After analyzing the statistical data of earthquake-damaged reservoirs, we present comprehensive weight composed of importance and improved entropy weight. Base on comprehensive weight, we can adopt membership function to establish single factor evaluation of the model. Moreover, we combine fuzzy weighting method to assess risk level of a reservoir after earthquake. The result shows that risk level of the reservoir is high-risk. The case study verifies the practicability and rationality of the risk assessment method. Therefore, the method could be applied in the emergency rescue and reinforcement for reservoir after earthquake.

scholarly journals Safety Evaluation Method of Antifloating Anchor System Based on Comprehensive Weighting Method and Gray-Fuzzy Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Jingwen ◽  
Qiao Jiangang ◽  
Dou Yuanming ◽  
Fu Xu ◽  
Liu Xiaoli
Keyword(s):  
Risk Factors ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Underground Structure ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Grey Theory ◽  
Entropy Weight ◽  
Weighting Method ◽  
Anchor System

The risk factors in the safety evaluation of antifloating anchor system of underground structure have the characteristics of complexity, grey, and fuzziness. Based on the Delphi method, analytic hierarchy process (AHP), and entropy weight method, this paper establishes a three-level evaluation index system based on four main risk factors and calculates the subjective and objective comprehensive weights of the index according to the comprehensive weighting method. It not only takes into account the valuable experience of the expert group but also reflects the objective impact of the subjective score on the system. On the basis of the above research, the grey-fuzzy safety evaluation method of antifloating anchor system is established by using the grey theory and the relevant theory of fuzzy mathematics. The reliability of the method is verified by an example, which has certain theoretical significance and application value.

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

2014 ◽  
Vol 1070-1072 ◽  
pp. 1486-1490
Author(s):  
Yin Fang ◽  
Zhi Qiang Zhao ◽  
Chun Cheng Gao ◽  
Yong Dai ◽  
Shu Hong Shi
Keyword(s):  
Electricity Market ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Level ◽  
Risk Levels ◽  
Risk Indices ◽  
Evaluation Models

Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

Information Processing in HFMFs Based Risk Evaluation for Virtual Enterprise

2014 ◽  
Vol 1021 ◽  
pp. 251-256
Author(s):  
Da Ye Xie ◽  
Xue Jing Wu ◽  
Fu Qiang Lu ◽  
Min Huang
Keyword(s):  
Fuzzy Sets ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Virtual Enterprise ◽  
Risk Level ◽  
Fuzzy Synthetic Evaluation ◽  
Membership Functions ◽  
Fuzzy Membership Functions ◽  
Needed Information ◽  
Synthetic Evaluation

The method of HFMFs (Hypertrapezoidal Fuzzy Membership Functions) is a new mechanism for designing multidimensional fuzzy sets. HFMFs models the correlation that exists between the variables of the state space. Therefore, it is able to describe the problems of fuzzy situation more exactly. As we known, it needs a great many information to evaluate the risk level for VE using fuzzy synthetic evaluation method. However, there are lots of difficulties to get the needed information for VE. Accordingly, the HFMFs method is introduced to estimate the risk level of VE. Considering not only the relations between different fuzzy sets but also the method of HFMFs is able to describe the problems of fuzzy situation more exactly with less information. Consequently, the HFMFs method is more suitable to the virtual enterprise with little historical experiences than the fuzzy synthetic evaluation method. Simulation has shown that this method is a simple and effective risk evaluation method for VE.

scholarly journals EE-RJMTFN: A novel manufacturing risk evaluation method for alternative resource selection in cloud manufacturing

2018 ◽  
Vol 27 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Li-Nan Zhu ◽  
Peng-Hang Li ◽  
Xi Yang ◽  
Guo-Jiang Shen ◽  
Yan-Wei Zhao
Keyword(s):  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Numbers ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
Risk Level ◽  
Triangular Fuzzy Numbers ◽  
Suitable Alternative ◽  
Correlation Degree ◽  
Alternative Resource

Cloud manufacturing is a new service-oriented smart manufacturing paradigm, and it provides a new product development model in which users are enabled to configure, select, and utilize customized manufacturing service on demand. Cloud manufacturing is fully recognized as one of the most important manufacturing modes yet created and has received considerable attention in recent years. In practical scenarios, due to the diversity and uncertainty of manufacturing resource, the cloud manufacturing platform should have the ability of manufacturing risk evaluation to search a suitable alternative resource when certain original manufacturing nodes failed suddenly. Such ability may reduce the probability of the alternative resource failing to the lowest and avoid the manufacturing process/system from complete collapse. It ensures the cloud manufacturing be a reliable, robust and flexible manufacturing system with strong self-repair ability. In this article, a new risk evaluation method termed Extension Evaluation based on Reciprocal Judging Matrix with Triangular Fuzzy Numbers (EE-RJMTFN) is proposed. According to the frame of extension theory, the proposed method provides not only the risk level but also the related correlation degree that describes the deviation from the standard risk level. Moreover, the risk index weight definition based on reciprocal judging matrix with triangular fuzzy numbers can better meet user’s customized demand. The results of a case study illustrate the implementation of the proposed method.

Assessments on Fire and Explosion of Petrochemical Wharf Storage Tank Area Using DOW Method and Fuzzy Comprehensive Evaluation Model

2014 ◽  
Vol 638-640 ◽  
pp. 1986-1992 ◽  
Author(s):  
Shi Tao Peng ◽  
Yi Sun ◽  
Ran Zhou ◽  
Xiao Li Wang ◽  
Wen Ling Guan
Keyword(s):  
Storage Tank ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Weighted Average ◽  
Fuzzy Comprehensive Evaluation ◽  
Weight Vector ◽  
Risk Level ◽  
Entropy Weight ◽  
Fire And Explosion

Based on the features of fire and explosion accidents in petrochemical wharf storage tank area, the DOW method and fuzzy comprehensive evaluation method were applied to evaluate risk of fire and explosion. First of all, DOW method was employed to evaluate the hazard of fire and explosion of petrochemical wharf storage tank area preliminarily and risk indexes of various tanks were obtained. Then, 5 first-level and 24 second-level indexes were identified by the fuzzy mathematics, in which the entropy weight method was introduced to determine weight vector of arrangement analysis, and applied to an actual risk evaluation for a petrochemical wharf storage tank area to determine fuzzy sets. On the basis of the weighted average method, the risk level is medium. Arranges the second-level indexes, and the main factors affecting the accident were concluded,including the violation rate of labor discipline, characteristics of hazardous materials, fire facilities, safety checks, operation of the security emergency response system and so on.

scholarly journals Application of a New Improved Weighting Method, ESO Method Combined with Fuzzy Synthetic Method, in Water Quality Evaluation of Chagan Lake

Water ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1424
Author(s):  
Wenbin Zhao ◽  
Changlai Xiao ◽  
Yunxu Chai ◽  
Xiaoya Feng ◽  
Xiujuan Liang ◽  
...  
Keyword(s):  
Water Quality ◽  
Evaluation Method ◽  
Fuzzy Synthetic Evaluation ◽  
Single Factor ◽  
Entropy Weight ◽  
Weighting Method ◽  
Local Weight ◽  
Chagan Lake ◽  
Factor Evaluation

The existing weighting methods mainly comprise subjective and objective weighting and have a certain degree of subjectivity, with certain requirements for the professional ability of the users and unstable results. Therefore, an improved weighting method based on the entropy weight, over-standard multiple, and single-factor evaluation methods, referred to as the ESO method, is proposed. The advantages and advancements of the ESO method are demonstrated in this study by combining it with the fuzzy synthetic evaluation method to evaluate the water quality of Chagan Lake wetland from 2007 to 2016. The main conclusions of this study are as follows: 1. The ESO method has more comprehensive consideration factors, lower requirements for the professional ability of users, and more stable weighting results than the traditional weighting method. Therefore, it is highly suitable for beginners and frontline staff who are not professionally qualified and cannot accurately conduct subjective weighting. Meanwhile, owing to the amendment rule and emphasis on the local weight of the sample in the ESO method, it is applicable to time-series samples. 2. The ESO method better allocates the amendment weights to indicators with a higher degree of pollution; thus, the final comprehensive evaluation results are relatively conservative. However, in contrast to the single-factor evaluation, the conservatism of ESO method is the result of the comprehensive effect of all samples; thus, the conservative result of the ESO method is more reasonable. 3. The water quality of Chagan Lake in 2009 and 2015 was class IV, which did not meet the standard, while that in remaining the eight years was class III, which met the requirements of the national 13th Five-Year Plan. The results of this study can provide a new approach to weighting calculation methods and a basis for the protection and treatment of the ecological environment of the Chagan Lake wetland.

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