Abstract
The importance of shared personal experience and how this is quantified are shown. In particular, the Delphi method introduced in the 1960s leads to the gathering of qualitative information from surveys or checklists, which can be used in a fuzzy cognitive map (FCM). FCM is a mathematical tool to model experiences expressed through language by people and take into account that personal terms such as “strongly affect” are subjective to that person. An FCM is a directed graph with nodes (variables or concepts) linked by edges (signifying that the degree of relationship between a pair of nodes is above a threshold as to be of interest). The degree of relationship can be shown by the thickness, or weight, of an edge. A key aspect is the quantification of linguistic terms, and to do this, fuzzy membership functions are used, which often take simple shapes such as triangular, trapezoidal, or Gaussian. FCMs can be integrated to form a single pooled FCM, which forms the input for analysis with the outcome of a directed network of edges and nodes. An example showing the relationships between smartphone addiction, loneliness, and cyberloafing using functions in R closes the chapter.
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Farahani, H., Blagojević, M., Azadfallah, P., Watson, P., Esrafilian, F., Saljoughi, S. (2023). Fuzzy Cognitive Maps. In: An Introduction to Artificial Psychology. Springer, Cham. https://doi.org/10.1007/978-3-031-31172-7_4
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