Abstract
In this paper, we introduce a method for modeling with words based on hedge algebra using fuzzy cognitive map. Our model, called linguistic cognitive map, consists of set of vertices and edges with value to be linguistic variables. We figure out relationship between the length of linguistic variables for fuzzifying data and a number of partition from unit interval. We also prove finite properties of state space, generating from linguistic cognitive map.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Van Han, N., Vinh, P.C. (2019). Modeling with Words Based on Hedge Algebra. In: Cong Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2018 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-06152-4_18
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DOI: https://doi.org/10.1007/978-3-030-06152-4_18
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