scholarly journals Multidimensional sensitivity study of the fuzzy risk assessment module in the life cycle of building objects

2018 ◽  
Vol 8 (1) ◽  
pp. 490-499 ◽  
Author(s):  
Edyta Plebankiewicz ◽  
Damian Wieczorek

Abstract The main purpose of this paper is to check the correctness of the operation of “the fuzzy risk assessment module in the life cycle of building objects”. The authors examine sensitivity of the module to the possible change of parameters that may affect the final result of the calculations due to modification: sets of membership functions for input and output variables, rules of fuzzy implication to the process of aggregation of premises and aggregation of result conclusions, as well as methods for defuzzification the resultant value. All 99 combinations of input variable values were simulated taking into account the combination for: 4 sets of membership functions (polygonal, complex, harmonic and Gaussian dunctions), 4 sets of T-norms and S-norms (minimum and maximum of Mamdani, algebraic product and sum, product and sum of Hamacher, and product and sum of Einstein) and 2 defuzzification methods (centre of gravity and bisector area method). The authors calculated arithmetic average (m), standard deviation (s) and coefficient of variation (V), which is a relative measure of variation for each of the 3168 combinations. Based on the results of research, the authors recommended the most appropriate sets of parameters that may affect the final result of the calculations.

2021 ◽  
Vol 25 (4) ◽  
pp. 1144-1162
Author(s):  
Milad Alipour-Bashary ◽  
Mehdi Ravanshadnia ◽  
Hamidreza Abbasianjahromi ◽  
Ehsan Asnaashari

2015 ◽  
Vol 26 (3) ◽  
pp. 389-406 ◽  
Author(s):  
Maria Francesca Milazzo ◽  
Francesco Spina

Purpose – The purpose of this paper is to quantify the human health impacts of soy-biodiesel production with the aim to discuss about its environmental sustainability. Design/methodology/approach – The integrated use of two current approaches, risk assessment (RA) and life cycle assessment (LCA), has allowed improvement of the potentialities of both in obtaining a more complete analysis. The implementation of a life cycle indicator for the assessment of the impacts on the human health, integrating the features of both approaches, is the main focus of this paper. Findings – It has been found that, although the biodiesel is a green fuel, it has some criticalities in its life cycle, which cannot be disregarded. In fact, even if biodiesel is essentially a clean fuel there are some phases, prior to the industrial phase, that can cause negative effects on human health and ecosystems. Practical implications – Results suggest some measures which can be adopted to substantially reduce human health impacts. Further alternative could be analysed in future to gain more insight about the use of biodiesel fuels. Originality/value – The estimation of the impacts of a process producing biodiesel has been made by using a novel approach. The novelty is associated with the calculation of the impacts on human health by using the transfer factors applied in RA. The use of such factors, properly modified in order to estimate the impacts on a wider scale than a site-dimension, allows defining a holistic approach, as LCA and RA are used as complete units but at the same time can be related to each other.


2014 ◽  
Vol 53 (8) ◽  
pp. 2017-2033 ◽  
Author(s):  
Vivek N. Mahale ◽  
Guifu Zhang ◽  
Ming Xue

AbstractThe three-body scatter signature (TBSS) is a radar artifact that appears downrange from a high-radar-reflectivity core in a thunderstorm as a result of the presence of hailstones. It is useful to identify the TBSS artifact for quality control of radar data used in numerical weather prediction and quantitative precipitation estimation. Therefore, it is advantageous to develop a method to automatically identify TBSS in radar data for the above applications and to help identify hailstones within thunderstorms. In this study, a fuzzy logic classification algorithm for TBSS identification is developed. Polarimetric radar data collected by the experimental S-band Weather Surveillance Radar-1988 Doppler (WSR-88D) in Norman, Oklahoma (KOUN), are used to develop trapezoidal membership functions for the TBSS class of radar echo within a hydrometeor classification algorithm (HCA). Nearly 3000 radar gates are removed from 50 TBSSs to develop the membership functions from the data statistics. Five variables are investigated for the discrimination of the radar echo: 1) horizontal radar reflectivity factor ZH, 2) differential reflectivity ZDR, 3) copolar cross-correlation coefficient ρhv, 4) along-beam standard deviation of horizontal radar reflectivity factor SD(ZH), and 5) along-beam standard deviation of differential phase SD(ΦDP). These membership functions are added to an HCA to identify TBSSs. Testing is conducted on radar data collected by dual-polarization-upgraded operational WSR-88Ds from multiple severe-weather events, and results show that automatic identification of the TBSS through the enhanced HCA is feasible for operational use.


Author(s):  
Е.В. Докукина ◽  
Е.В. Парфенова

В работе исследуется один из возможных метод оценки риска дополнительных финансовых незапланированных затрат в рамках реализации проектов ракетно-космической отрасли, поскольку по различным причинам они не учитывались при определении технико-экономических показателей реализуемого перспективного проекта. Следовательно, предлагаемый метод позволяет на ранних стадиях проведения исследований оценить дополнительные затраты и учесть их влияние на конечные технико-экономические показатели перспективного проекта. Метод строится на основе статистического анализа затрат по этапам жизненного цикла и по проекту в целом. По итогам исследования сделан вывод о том, что риск дополнительных финансовых затрат может снизить эффективность проекта в полтора - три раза. The paper explores one of the possible methods for assessing the risk of additional unplanned costs for the implementation of a promising project. Under additional means costs that for some reason were not planned when determining the technical and economic indicators of the prospective project being implemented. The proposed method allows for the early stages of research to assess the additional costs and take into account their impact on the final technical and economic indicators of a promising project. The method is based on a statistical analysis of costs for the stages of the life cycle and for the project as a whole. The study concluded that the risk of additional costs may reduce the effectiveness of the project in one and a half to three times.


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