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With the scope of this paper, a RBF neural network model focus on risk analysis was constructed, and a series of input indicator combinations designed to get more accurate predictions.
Based on the DEA efficiency assessment by regarding the urban input-output ratio as a performance indicator, we examine here one input indicator (Total Employees) and four sustainability output indicators (CO2 Emissions, Nominal GDP, Level of Satisfaction of Employees with their Lives, and Percentage of Renewable Energy Used).
For simplicity, this method does not include the FLC feedback as an input indicator.
Diverse sets of membership functions were proposed by experts for each input indicator (Loaddiff and Userdiff).
The remote was also somewhat persnickety in registering button presses, requiring somewhat precise aim at the speaker (which houses the active input indicator LEDs).
In consequence, different membership functions as well as fuzzy rules must be designed according to each input indicator.
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In the present paper an algorithm for fault diagnosis in industrial rotating machines facing new operating conditions emergence is developed on the basis of input indicators, extracted from vibrations spectrums.
Membership curves for input indicators and MFWQI are shown in Figure 4.
The number of input indicators provided to each method is two.
Grouping indicators into input and output indicators enables to show interactions among various measures and illustrate, through output indicators, the impact of input indicators on performance of a country pursuing the knowledge-based economy.
Clearly, the ratio of output and input indicators is a productivity indicator; this will be further used in our DEA model (Section 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com