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Decision making has become a core research area in different fields such as evaluation, engineering, medicine, etc. Usually, decision making problems are defined in contexts with vague and imprecise information. The use of linguistic modeling has provided successful results in decision making problems. However, most of the linguistic approaches are limited, because they restrict the elicitation of...
The complexity and relevance of the real world decision making problems have made necessary to use multiple points of view to achieve a common solution by using the knowledge provided for a group of experts. Usually, this knowledge is vague and imprecise. In such cases, the use of linguistic information has provided successful results, although sometimes they are limited because of the linguistic...
Current industrial monitoring systems gather big amounts of data which are provided to plant personnel for maintaining the proper function and desired production performance. Unfortunately, these systems do not take into account context as part of the plant, leaving out useful information that could be useful for personnel when they perform their everyday tasks. This context information includes data...
Automation industry is moving towards more complex systems which are posing new challenges for operation from both machine and human perspectives. A group of challenges is related to management of the overwhelming information flow and to usability of the systems, and context-aware solutions have been recently introduced to the automation field in order to cope with challenges of this kind. The context...
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