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It is a useful technique which turns user-generated texts into knowledge for decision support.
In the context of climate change, stakeholders use different forms of knowledge for decision making.
Knowledge for decision making can be categorized as domain specific and general.
At present the knowledge for decision making is only available when the latter parties share it and negotiate it in real-time.
In this paper, a fuzzy expert system focused on increasing accuracy and quality of the knowledge for decision making is designed.
The generation of climate change knowledge for decision making builds upon individual experiences, epistemologies, and norms, and takes place via interaction and exchange; the actual use of knowledge is largely shaped by power relations.
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Special focus is laid on different strategies that can be applied to use leaching test data for regulation processes and on the gaps, that should be filled in the future to have a profound base of knowledge for decision-making.
For example, the extracted representations by Deep Learning can be considered as a practical source of knowledge for decision-making, semantic indexing, information retrieval, and for other purposes in Big Data Analytics, and in addition, simple linear modeling techniques can be considered for Big Data Analytics when complex data is represented in higher forms of abstraction.
Smart cities data can be collected directly from variety of sensors, smart phones, citizens and integrated (or linked) with city data repositories to perform analytical reasoning and generate required information (e.g. for end users) or new knowledge for decision-making for better urban governance.
In order to translate specialized scientific information into available, relevant and useful knowledge for decision-makers in public health, the PRIMUS group has developed the on-line Interactive Atlas on Health Inequalities (IAHI), based on user's needs assessments and data availability.
Knowledge for decisions and policies can be expressed in terms of 'human need' and we examine the different ways in which such needs are weighted, articulated and formulated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com