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Fedrizzi and Kacprzyk (1988) encouraged studies in the setting of fuzzy preference using interval value for expressing experts' views and judgments presented through cumulative distribution function.
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They are designed to narrow the gap between the knowledge of human experts and the functionality available in computer systems, by expressing expert knowledge in a manner computers can manipulate and reason over.
Based on this ontology we are able to express expert rules to capture alert situations with different levels of confidence according to the available knowledge (see Section 5.2).
Second, the definition of SHCOntology (simple health care ontology) allows us to represent a health care context in order to express expert rules.
We started from the assumption that the knowledge acquisition bottleneck was due to the problems of experts expressing their expert knowledge.
Hesitant fuzzy sets and hesitant linguistic term sets enable better expressing the experts' evaluations [4, 5, 6].
A second measure of uncertainty uses a confidence score from each expert; this score expresses the expert's confidence in the available data used to make the point estimate.
This is an exceptional measure at European level, and was adopted in spite of the doubts expressed by experts, as can be seen in Table 2.
They do not share the sense of urgency expressed by experts in ecology and climate science.
On the face of it there was nothing extraordinary about various market experts expressing bearish opinions on the market.
A fuzzy logic based diagnostic reasoning is then used because it proves to be more relevant to express the expert conclusions, which may be dubious.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com