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In this paper, the sliding simulation was conducted for one-year ahead forecasting under the regression framework.
Objective of using fuzzy time series is to deal with forecasting under the fuzzy environment that contains uncertainty, vagueness and imprecision.
In this communication, our purpose is to present an understanding of the first analysis from both the theoretical perspective and a practical application viewpoint of the conceived theory of grey fuzzy Markov pattern recognition model for accident forecasting under reasonable assumptions.
It is believed that this novel approach to industrial accident forecasting will aid proper anticipation, planning, control and management of future accident occurrences in industrial organisations on the one hand, and also provide a promising alternative tool to forecasting under uncertain conditions on the other.
Policy formulation and legislative frameworks in this field, such as the current National Emissions Ceiling Directive in the European Union, are challenged by the degree of scientific complexity involved, the dispersed sources of emissions, and the inherent uncertainties associated with long range forecasting under these conditions.
The objective of this paper is to critically examine scientific approaches to flood forecasting under deep uncertainty and ambiguity as input to flood policy, and to explore alternative approaches to the development of better forecasts along with the necessary organizational support.
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We place our forecasts under review and initially expect to downgrade by up to 5%.
We therefore place our forecasts under review, but are likely to leave our hold recommendation unchanged.
This includes damage evolution in a heterogeneous medium and failure forecast under impact.
This paper presents the forecast component formulation and validates ensemble 30-day reservoir-inflow forecasts under a variety of situations.
Climate change-driven forecasts under alternate scenarios, or representative concentration pathways (RCPs), can generate medium to long-term forecasts.
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