Comprehensive evaluation method of groundwater environment in a mining area based on fuzzy set theory

2017 ◽  
Vol 21 (2) ◽  
pp. 103-112 ◽  
Author(s):  
Zhiqiang Li ◽  
Binghua Zhou ◽  
Debin Teng ◽  
Weimin Yang ◽  
Daohong Qiu
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Mining Area ◽  
Comprehensive Evaluation Method ◽  
Groundwater Environment

The Distribution Laws of Interlayer-Gliding Structure Controlled by Panji Anticline and the Research of Quantitative Evaluation in Seams

2012 ◽  
Vol 204-208 ◽  
pp. 3-9
Author(s):  
Qi Lang Le
Keyword(s):  
Coal Mine ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Fracture Type ◽  
Comprehensive Evaluation Method ◽  
Geological Conditions ◽  
Shallow Area ◽  
Gliding Structure

Based on the research of interlayer-gliding structures in Panbei and Panji No.1 coal mine that are located in the each wing of Panji anticline, the Panji mining area is divided into 9 main interlayer-gliding areas and 29 sub-regions. The results indicate that the interlayer-gliding structures mainly developed in the anticline wings, which show obvious symmetry at the type and distribution. The types of the interlayer-gliding structures are fault-sliding and corrugation type in the wings and fracture type in the core area. The type and manifestation of the interlayer-gliding structures also show symmetry in the similar depth. From up to down, the interlayer-gliding type show obvious regularity that fracture type is mainly developed in the shallow area, down is fault-sliding type and corrugation type is mainly developed in the deep or the interchange of the faults. Take fuzzy comprehensive evaluation method to evaluate the inter-gliding structure in west area of Panji No.1 coal mine. The results showed that the results from using fuzzy comprehensive assessment were similar with the results exposed by coal mine. Good effects were obtained for predicting the development intensity of the seam-gliding structure in deep unmined areas in combination with geological conditions of coal mine, providing references for production arrangement of coal mine.

scholarly journals FANPCE TECHNIQUE FOR RISK ASSESSMENT ON SUBWAY STATION CONSTRUCTION

2019 ◽  
Vol 25 (6) ◽  
pp. 599-616 ◽  
Author(s):  
Luyuan Wu ◽  
Haibo Bai ◽  
Chao Yuan ◽  
Changyu Xu
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Weight Matrix ◽  
Subway Station ◽  
Total Risk

Risk assessment is critical for the construction of the subway station to improve the risk management and reduce the additional loss. According to field investigation of safe construction, the analytical network process (ANP), fuzzy set theory and fuzzy comprehensive evaluation (FCE), a fuzzy ANP comprehensive evaluation (FANPCE) model was proposed to evaluate the risk of subway station construction in this paper. Twelve key risk factors of subway station construction were identified through literature review and questionnaires. The interdependency among risk factors were illustrated through the network structure of ANP, and then a weight matrix of single risk factors was built by comments and survey results, and the interdependent weight matrix was quantified by integrating the triangular fuzzy number into the ANP. Subsequently, the total risk rank of assessed projects can be quantified though the synthesis of weight matrices with the synthetic operator of FCE. Wu Lu Kou subway station was selected as a case study. The results imply that, construction experience, underground water, and safety consciousness have a substantial influence on construction projects and that the total construction risk of Wu Lu Kou subway station is ranked at I level. Moreover, the loss analysis of the whole construction process verifies this method. This research contributes to developing a FANPCE method to identify the risk factors with high weights, assess the risk rank of projects and appropriately respond to the results. In addition, the developed fuzzy set theory-ANP-FCE integrated network provides stakeholders a consolidated model for the risk evaluation.

Application of Fuzzy Set Theory in Water Resources Coordinated Development Evaluation of Jilin Province

2014 ◽  
Vol 997 ◽  
pp. 835-838
Author(s):  
Xi Feng Liu ◽  
De Qin Cui
Keyword(s):  
Water Resources ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Comprehensive Evaluation ◽  
Social Economy ◽  
Jilin Province ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Coordinated Development

According to engineering fuzzy set theory and system coordination degree model proposed by professor Chen Shouyu and Yu Xuefeng, this paper established social economy-ecological environment-water resources comprehensive evaluation index system, combined with social and economic development situation, ecological environment and water resources utilization status in 9 areas of Jilin province, 2011. The paper made an evaluation of the existing water resources coordinated development of Jilin province, and analyses relative coordinated development level among regions.

Identification of unbalanced bids based on grey-fuzzy evaluation method

2020 ◽  
Vol 47 (3) ◽  
pp. 272-278
Author(s):  
Limin Su ◽  
Huimin Li ◽  
Zhangmiao Li ◽  
Yongchao Cao
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evaluation Method ◽  
Unit Price ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Identification Method ◽  
Score Vector ◽  
Grey Relational

To provide theoretical reference for owners to identify unbalanced bids, this paper aims to construct an identification method based on grey relational and fuzzy set theory. Firstly, to measure the closeness degree between bidding unit price from engineering’s estimated price, grey relational analysis theory is used to express the relationship between them. Secondly, a combined weight method determining all line items is calculated through integrating analytic hierarchy model and maximizing deviation method. Thirdly, based on fuzzy set theory, the membership degree and the fuzzy relation matrix are constructed, and then a fuzzy comprehensive identification method is established to identify unbalanced bidding. Fourthly, on the basis of fuzzy comprehensive identification method, the scoring set and total score vector are designed, and the rank of unbalanced bids is obtained by total score vector. Finally, a practical construction project bidding is stated to illustrate the effectiveness and practicability of the proposed method.

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