Aggregating Procedure for Fuzzy Cognitive Maps

In the field of Knowledge Engineering and Representation, a typical struggle encompasses transferring the Subject Matter’s expertise into computational descriptions that could be used to create digital-twin representations of a given real-world scenario. Fuzzy Cognitive Maps (FCMs) have recently gai...

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Bibliographic Details
Published inProceedings of the International Florida Artificial Intelligence Research Society Conference Vol. 36
Main Author Maikel Leon Espinosa
Format Journal Article
LanguageEnglish
Published LibraryPress@UF 08.05.2023
Subjects
aggregation procedure
fuzzy cognitive maps
knowledge engineering and representation
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Summary:In the field of Knowledge Engineering and Representation, a typical struggle encompasses transferring the Subject Matter’s expertise into computational descriptions that could be used to create digital-twin representations of a given real-world scenario. Fuzzy Cognitive Maps (FCMs) have recently gained relevant attention among multiple techniques developed with this aim. However, one issue remains, when numerous of these representations need to be combined into a unique aggregated structure, it is essential to weigh factors (such as quality) into the final form to ensure its veracity, making the process not too straightforward. This paper proposes an aggregation procedure to combine FCMs into one that represents best its contributors. The technique was utilized for solving a real-life problem, and several configurations were explored. The results are compiled and reported in this paper.
ISSN:2334-0754
2334-0762
DOI:10.32473/flairs.36.133082