Risk assessment of water inrush in karst tunnels based on two-class fuzzy comprehensive evaluation method

Han-dong, Chu; Xu, Guangli; Yasufuku, Noriyuki; Zhang, Yu; Po-la, Liu; Wang, Jifeng

doi:10.1007/s12517-017-2957-5

Cited by 57 publications

(30 citation statements)

References 10 publications

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“…FCE method is one type of application of fuzzy mathematics (Zadeh, 1965). The basic concept of the risk evaluation of a project is described as follows: (1) consider the impact degree of all risk factors comprehensively; (2) distinguish the importance of various factors by setting weights; and (3) determine various degrees of risk possibility, in which the maximum degree is the final determination value of the risk level (Chu et al, 2017). The accuracy and reliability of the comprehensive evaluation result depend on the reasonable selection of factors and weight distributions (the weights will vary with different states and timing of the factors), synthesis of a comprehensive evaluation, and representation of results and the selection process (Dai & Li, 2016).…”

Section: Fuzzy Comprehensive Evaluationmentioning

confidence: 99%

“…In the practical application, however, the elements of a system are generally connect-ed rather than organized in a hierarchical structure, then a network structure with a preferable form is produced. The ANP technique enables more complex relationships among decision levels, attribute, analyses of the uncertainty and ambiguity of a system and project (Saaty, 2001;Chu et al, 2017;Tavana, Zandi, & Katehakis, 2013;Chatterjee, Bandyopadhyay, Ghosh, & Kar, 2015;Bu-Qammaz, Dikmen, & Birgonul, 2009). Since risk factors are indeterminate, abstract, and uncertain, it is difficult to quantify risk factors.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the impact of all risk factors comprehensively, Fuzzy comprehensive evaluation (FCE) can assess the total risk, distinguish the importance of various factors by the weight setting and the possible risk determination with various degrees. The maximum influence is the final determination value of the risk level (Chu et al, 2017). Li et al (2014) and Ying, Wang, Zhu, Lei, and Qin (2016) ranked subway construction risks by a FCE model.…”

Section: Introductionmentioning

confidence: 99%

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Fanpce Technique for Risk Assessment on Subway Station Construction

Bai

Che

et al. 2019

Journal of Civil Engineering and Management

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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.

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Section: Fuzzy Comprehensive Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fanpce Technique for Risk Assessment on Subway Station Construction

Bai

Che

et al. 2019

Journal of Civil Engineering and Management

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“…and Li, Lei, et al (2015) put forward an attribute synthetic evaluation system and fuzzy mathematics combined with AHP method to predict the water inrush in tunnel. Chu et al (2017) proposed the two-class fuzzy comprehensive evaluation to assess the risk of water inrush in karst tunnels. Wang, Chen, et al 2019) adopted the intuitionistic fuzzy analysis to assess the risk of water inrush, which considered the subjective and objective weights of influencing factors.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model

Peng

Zuo

et al. 2020

Geomatics, Natural Hazards and Risk

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2020)Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model, ABSTRACTWater inrush is a serious geological disaster in tunnel. Due to the complexity of geological conditions, large-scale water inrush is prone to occur in tunnel through water-rich fault during construction. Based on the comprehensive analysis of influencing factors, 8 evaluation indexes and the corresponding grading criteria are put forward to assess the risk of water inrush, and the risk of water inrush is divided into 4 levels. Synthesizing the standardization process and the analytic hierarchy process (AHP), a novel Cloud model is established to assess the risk of tunnel water inrush. The model is applied to the Longjinxi Tunnel to assess the risk level of water inrush. It is proved that the assessment results of the tunnel through water-rich fault is consistent with the actual situation, which verifies the reliability of evaluation model. ARTICLE HISTORY

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“…Based on the theory of the APH model, we propose a hybrid AHP-Fuzzy Comprehensive Evaluation Model to assess the atmospheric environmental quality [34,17]. In the proposed hybrid model, AHP is able to estimate the weight coefficient of the index system, and fuzzy comprehensive evaluation [12,11] approach can tackle the vagueness of remark in evaluation process. Firstly, we build a hierarchical evaluation index system by AHP, and then compute the weight for each layer indicator.…”

mentioning

confidence: 99%

Atmospheric environmental quality assessment method based on analytic hierarchy process

Lv¹,

Ji²

2019

Discrete &Amp; Continuous Dynamical Systems - S

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Atmospheric environmental quality significantly influences the environment of people's life and the development of modern society. Therefore, in this paper, we aim to accurately assess atmospheric environmental quality. Firstly, we propose and analyze two indicator systems for atmospheric environmental quality assessment, that is, 1) the standard air pollution index, and 2) an index system which covers different types of influencing factors related to air quality. In particular, the proposed index system is made up of seven parts, that is, 1) Climate and meteorology, 2) Economic and social development, 3) Industrial structure, 4) Energy consumption, 5) Industrial pollutant discharge, 6) The greening of the city, and 7) Environmental protection construction. Secondly, we propose a hybrid AHP-Fuzzy Comprehensive Evaluation Model to evaluate the atmospheric environmental quality. In the hybrid model, AHP is used to calculate the weight coefficient of the index system, and fuzzy comprehensive evaluation model is exploited to describe the vagueness of remark in the evaluation process. Finally, experimental results demonstrate that using the proposed index system, the hybrid AHP-Fuzzy comprehensive evaluation model is able to assess air quality more accurately than the modified API.

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Risk assessment of water inrush in karst tunnels based on two-class fuzzy comprehensive evaluation method

Cited by 57 publications

References 10 publications

Fanpce Technique for Risk Assessment on Subway Station Construction

Fanpce Technique for Risk Assessment on Subway Station Construction

Risk assessment of water inrush in tunnel through water-rich fault based on AHP-Cloud model

Atmospheric environmental quality assessment method based on analytic hierarchy process

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