• 제목/요약/키워드: Dependence assessment

검색결과 125건 처리시간 0.019초

New method for dependence assessment in human reliability analysis based on linguistic hesitant fuzzy information

  • Zhang, Ling;Zhu, Yu-Jie;Hou, Lin-Xiu;Liu, Hu-Chen
    • Nuclear Engineering and Technology
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    • 제53권11호
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    • pp.3675-3684
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    • 2021
  • Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

Evidential Analytic Hierarchy Process Dependence Assessment Methodology in Human Reliability Analysis

  • Chen, Luyuan;Zhou, Xinyi;Xiao, Fuyuan;Deng, Yong;Mahadevan, Sankaran
    • Nuclear Engineering and Technology
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    • 제49권1호
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    • pp.113-123
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    • 2017
  • In human reliability analysis, dependence assessment is an important issue in risky large complex systems, such as operation of a nuclear power plant. Many existing methods depend on an expert's judgment, which contributes to the subjectivity and restrictions of results. Recently, a computational method, based on the Dempster-Shafer evidence theory and analytic hierarchy process, has been proposed to handle the dependence in human reliability analysis. The model can deal with uncertainty in an analyst's judgment and reduce the subjectivity in the evaluation process. However, the computation is heavy and complicated to some degree. The most important issue is that the existing method is in a positive aspect, which may cause an underestimation of the risk. In this study, a new evidential analytic hierarchy process dependence assessment methodology, based on the improvement of existing methods, has been proposed, which is expected to be easier and more effective.

Dependence assessment in human reliability analysis under uncertain and dynamic situations

  • Gao, Xianghao;Su, Xiaoyan;Qian, Hong;Pan, Xiaolei
    • Nuclear Engineering and Technology
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    • 제54권3호
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    • pp.948-958
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    • 2022
  • Since reliability and security of man-machine system increasingly depend on reliability of human, human reliability analysis (HRA) has attracted a lot of attention in many fields especially in nuclear engineering. Dependence assessment among human tasks is a important part in HRA which contributes to an appropriate evaluation result. Most of methods in HRA are based on experts' opinions which are subjective and uncertain. Also, the dependence influencing factors are usually considered to be constant, which is unrealistic. In this paper, a new model based on Dempster-Shafer evidence theory (DSET) and fuzzy number is proposed to handle the dependence between two tasks in HRA under uncertain and dynamic situations. First, the dependence influencing factors are identified and the judgments on the factors are represented as basic belief assignments (BBAs). Second, the BBAs of the factors that varying with time are reconstructed based on the correction BBA derived from time value. Then, BBAs of all factors are combined to gain the fused BBA. Finally, conditional human error probability (CHEP) is derived based on the fused BBA. The proposed method can deal with uncertainties in the judgments and dynamics of the dependence influencing factors. A case study is illustrated to show the effectiveness and the flexibility of the proposed method.

내부-외부 종속법을 이용한 수색.구조 구역의 위험성 평가 (Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Inner-Outer Dependence Method)

  • 장운재;금종수
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2006년도 춘계학술발표회
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    • pp.59-64
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    • 2006
  • 본 연구는 해양사고 피해규모에 의해 우리나라 수색 구조 구역의 위험성을 평가하였다. 위험성 평가를 위해서 전문가 지식에 기반 한 퍼지로직, 내부-외부 종속법을 이용하였다. 본 연구에서 평가치 중요도 산출을 위해 이용한 퍼지로직은 퍼지 확장원리에 의한 최대최소화 합성이고, 비퍼지화는 무게중심법을 이용하였다. 평가항목에 대한 중요도 산출을 위해서는 내부-외부 종속법을 이용하였으며, 최종 종합 평가 중요도는 마아코브 분석법을 이용하였다. 그 결과 통영, 여수 수색 구조 구역의 위험성이 비교적 높은 것으로 평가되어, 향후 위험성을 경감하기 위해 많은 구조선과 구조장비가 필요 할 것으로 판단된다.

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내부-외부 종속법을 이용한 수색.구조 구역의 위험성 평가 (Evaluation of Risk Level for Damage of Marine Accidents in SRRs using Inner-Outer Dependence Method)

  • 장운재;금종수
    • 해양환경안전학회지
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    • 제12권3호
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    • pp.219-224
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    • 2006
  • 본 연구는 해양사고 피해규모에 의한 우리나라 수색.구조 구역의 위험성을 평가하였다. 이러한 위험성 평가를 위해서 본 연구에서는 전문가 지식에 기반한 퍼지로직과 내부-외부 종속법을 이용하였다. 본 연구에서 이용한 퍼지로직은 퍼지 확장원리에 의한 최대최소화 합성이고, 중요도 산출을 위한 비퍼지화는 무게중심법을 이용하였다. 또한 평가항목에 대한 중요도 산출을 위해서는 내부-외부 종속법을 이용하였으며, 최종 종합 평가 중요도는 마아코브 분석법을 이용하였다. 그 결과 통영, 목포, 여수 수색.구조 구역의 위험성이 비교적 높은 것으로 평가되어, 향후 위험성을 경감하기 위해 우선적으로 구조선과 구조장비가 필요할 것으로 판단된다.

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Assessment of Nicotine Dependence among Smokers in a Selected Rural Population in Kerala, India

  • Jayakrishnan, R.;Mathew, Aleyamma;Lekshmi, Kamala;Sebastian, Paul;Finne, Patrik;Uutela, Antti
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권6호
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    • pp.2663-2667
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    • 2012
  • Objectives: An attempt was made to understand the nicotine dependence of smokers selected for an ongoing smoking cessation intervention programme in rural Kerala, India. Methods: Data were collected from resident males in the age group of 18 to 60 years from 4 randomly allocated community development blocks of rural Thiruvananthapuram district (2 intervention and 2 control groups). Trained accredited social health activist workers were utilised to collect data from all groups through face to face interview. Nicotine dependence among participants was assessed by means of the six-item Fagerstrom Test for Nicotine Dependence (FTND) translated into the local language. The internal consistency of FTND was computed using Cronbach's alpha coefficient. Criterion validity (concurrent) was assessed by correlations of nicotine dependence scores with age at initiation of smoking and cumulative smoking volume in pack-years. Results: Among the 928 smokers identified, 474 subjects were in the intervention area (mean age = 44.6 years, SD = 9.66 years) and 454 in the control area (mean age = 44.5 years, SD = 10.30 years). The overall FTND score among current daily smokers was 5.04 (SD: 5.05). FTND scores in the control and intervention areas were 4.75 (SD: 2.57) and 4.92 (SD: 2.51) respectively. The FTND scores increased with age and decreased with higher literacy and socioeconomic status. The average FTND score was high among smokers using both bidi and cigarettes (mean 6.10, SD 2.17). Internal consistency analysis yielded a Cronbach's alpha coefficient of 0.70 in a subsample of 150 subjects, a moderate result. The association of the scale was strongest, with the number of pack-years smoked (rho = 0.677, p < 0.001). Conclusion: A moderate level of nicotine dependence was observed among smokers in the current study. Tobacco cessation strategies could be made more cost effective and productive if a baseline assessment of nicotine dependence is completed before any intervention.

간호학생의 통증관리에 관한 지식 (Nursing students관 Knowledge on Pain Management)

  • 신영희;박영숙
    • 대한간호학회지
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    • 제25권1호
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    • pp.164-172
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    • 1995
  • Pain management of postoperative patients or patients suffering from terminal cancer became one of the most important task of nurses in recent years. This study analyzed basic knowledge of 175 student nurses in Taegu on the pain assessment and management. The questionnaires included five areas : Assessment, pharmacological actions, medication, classification of opioids, and psychological dependence of analgesics. The results indicated that nursing students, in general, lacked knowledge on pain management : Correct responses on pain assessment varied between 9.7 and 100% , classification of opioids was in ranges of 61.7 to 95.4% ; Pharmacological actions was 16.6 to 80% : and medication was 14.9 to 85.7%. Less than 12.6% of students correctly identified the frequency of psychological dependence. These results suggested that the need of reinforcement on the pain management in formal nursing education.

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수동형 댐퍼를 장착한 구조물의 동적응답기반 신뢰성 해석 - 제2편: 시스템 파괴확률 산정 (Dynamic Response based System Reliability Analysis of Structure with Passive Damper - Part 2: Assessment of System Failure Probability)

  • 김승민;옥승용
    • 한국안전학회지
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    • 제31권5호
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    • pp.95-101
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    • 2016
  • This study proposes a multi-scale dynamic system reliability analysis of control system as a method of quantitative evaluation of its performance in probabilistic terms. In this second paper, we discuss the control effect of the viscous damper on the seismic performance of the structure-level failure. Since the failure of one structural member does not necessarily cause the collapse of the structural system, we need to consider a set of failure scenarios of the structural system and compute the sum of the failure probabilities of the failure scenarios where the statistical dependence between the failure scenarios should be taken into account. Therefore, this computation requires additional system reliability analysis. As a result, the proposed approach takes a hierarchial framework where the failure probability of a structural member is computed using a lower-scale system reliability with the union set of time-sequential member failures and their statistical dependence, and the failure probability of the structural system is again computed using a higher-scale system reliability with the member failure probabilities obtained by the lower-scale system reliability and their statistical dependence. Numerical results demonstrate that the proposed approach can provide an accurate and stable reliability assessment of the control performance of the viscous damper system on the system failure. Also, the parametric study of damper capacity on the seismic performance has been performed to demonstrate the applicability of the proposed approach through the probabilistic assessment of the seismic performance improvement of the damper system.

Can Urinary Cotinine Predict Nicotine Dependence Level in Smokers?

  • Jung, Hyun-Suk;Kim, Yeol;Son, Jungsik;Jeon, Young-Jee;Seo, Hong-Gwan;Park, So-Hee;Huh, Bong Ryul
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권11호
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    • pp.5483-5488
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    • 2012
  • Background: Although nicotine dependence plays a role as a main barrier for smoking cessation, there is still a lack of solid evidence on the validity of biomarkers to determine nicotine dependence in clinical settings. This study aimed to investigate whether urinary cotinine levels could reflect the severity of nicotine dependence in active smokers. Materials and Methods: Data regarding general characteristics and smoking status was collected using a self-administered smoking questionnaire. The Fagerstr$\ddot{o}$m test for nicotine dependence (FTND) was used to determine nicotine dependence of the participants, and a total of 381 participants were classified into 3 groups of nicotine dependence: low (n=205, 53.8%), moderate (n=127, 33.3%), and high dependence groups (n=49, 12.9%). Stepwise multiple linear regression model and receiver operating characteristic (ROC) curves analyses were used to determine the validity of urinary cotinine for high nicotine dependence. Results: In correlation analysis, urinary cotinine levels increased with FTND score (r=0.567, P<0.001). ROC curves analysis showed that urinary cotinine levels predicted the high-dependence group with reasonable accuracy (optimal cut-off value=1,000 ng/mL; AUC=0.82; P<0.001; sensitivity=71.4%; specificity=74.4%). In stepwise multiple regression analysis, the total smoking period (${\beta}$=0.042, P=0.001) and urinary cotinine levels (${\beta}$=0.234, P<0.001) were positively associated with nicotine dependence, whereas an inverse association was observed between highest education levels (>16 years) and nicotine dependence (${\beta}$=-0.573, P=0.034). Conclusions: The results of this study support the validity of using urinary cotinine levels for assessment of nicotine dependence in active smokers.

Copula-ARMA Model for Multivariate Wind Speed and Its Applications in Reliability Assessment of Generating Systems

  • Li, Yudun;Xie, Kaigui;Hu, Bo
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.421-427
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    • 2013
  • The dependence between wind speeds in multiple wind sites has a considerable impact on the reliability of power systems containing wind energy. This paper presents a new method to generate dependent wind speed time series (WSTS) based on copulas theory. The basic feature of the method lies in separating multivariate WSTS into dependence structure and univariate time series. The dependence structure is modeled through the use of copulas, which, unlike the cross-correlation matrix, give a complete description of the joint distribution. An autoregressive moving average (ARMA) model is applied to represent univariate time series of wind speed. The proposed model is illustrated using wind data from two sites in Canada. The IEEE Reliability Test System (IEEE-RTS) is used to examine the proposed model and the impact of wind speed dependence between different wind regimes on the generation system reliability. The results confirm that the wind speed dependence has a negative effect on the generation system reliability.