Fuzzy-based wastewater quality indices for pollution classification: a case study in the United Arab EmiratesEnvironment Systems and Decisions - Tập 36 - Trang 62-71 - 2015
Mohamed Ibrahim Kizhisseri, Mohamed Mostafa Ahmed Mohamed
This paper presents a fuzzy logic-based tool for assessing the pollution
concentration of effluents generated by various industrial and commercial
activities. The study proposes a fuzzy overall pollution compliance index
(FOPCI) (range 0–100) to classify the wastewater discharged from various types
of properties present in Ajman, United Arab Emirates. The work mainly focused on
three types of poll... hiện toàn bộ
Analysis of drought risk management strategies using dynamic inoperability input–output modeling and event tree analysisEnvironment Systems and Decisions - Tập 34 - Trang 492-506 - 2014
Joost R. Santos, Sheree T. Pagsuyoin, Lucia C. Herrera, Raymond R. Tan, Krista D. Yu
Climate change is expected to increase the frequency and intensity of droughts
in many parts of the world. Since water is an essential resource for many
economic activities, water scarcity can cause disruptions that manifest as
losses in industrial outputs. These effects can propagate through economic
systems as a result of the inherent interdependencies among economic sectors.
Risk management str... hiện toàn bộ
Protecting asset value and driving performance with a dynamic, risk-based contingency fundEnvironment Systems and Decisions - Tập 34 - Trang 417-424 - 2014
C. W. Mauelshagen, S. J. T. Pollard, D. Owen, S. Herndlhofer, P. Firth, J. McKenna, N. Bingley, P. Jenson
We present a risk-based contingency fund management methodology to mitigate the
impact of external risks on asset value and performance. Many asset intensive
industries, such as water and energy utilities, are significantly affected by
external risks such as extreme weather events. We put the case for a centrally
held risk-based contingency fund that would mitigate against ‘medium’ impact
‘medium’... hiện toàn bộ
Supervised clustering for automated document classification and prioritization: a case study using toxicological abstractsEnvironment Systems and Decisions - - 2017
Arun Varghese, Michelle Cawley, Tao Hong
Machine learning and natural language processing algorithms are currently widely
used to retrieve relevant documents in a variety of contexts, including
literature review and systematic review. Supervised machine learning algorithms
perform well in terms of retrieval metrics such as recall and precision, but
require the use of a sizeable training dataset, which is typically expensive to
develop. U... hiện toàn bộ
A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problemsEnvironment Systems and Decisions - Tập 41 - Trang 633-650 - 2021
Milad Zamanifar, Timo Hartmann
This paper proposes a framework to systematically evaluate and select attributes
of decision models used in disaster risk management. In doing so, we formalized
the attribute selection process as a sequential screening-utility problem by
formulating a prescriptive decision model. The aim is to assist decision-makers
in producing a ranked list of attributes and selecting a set among them. We
develo... hiện toàn bộ
Jumps in Euribor and the effect of ECB monetary policy announcementsEnvironment Systems and Decisions - Tập 36 - Trang 142-157 - 2016
Frances Shaw, Finbarr Murphy, Fergal G. O’Brien
The main tool that the ECB uses to influence monetary policy is through the
short-term refinancing rate, a change in the short-term interest rate can in
turn cause the whole yield curve to shift. In addition to central bank
announcements, interbank rates such as Euribor are also influenced by, forward
guidance from the ECB, various macroeconomic events, liquidity in the money
markets and the perce... hiện toàn bộ