Abstract
This paper presents a concept of an intuitionistic notice board. The board consists of notices including statements. Notices may be considered as variables of intuitionistic fuzzy logic. It was assumed that the notices in question are nodes of a network whose links represent necessary and sufficient conditions occurring between the nodes. These conditions are written down as a system of inequalities between the values of intuitionistic variables. Furthermore, a manner in which approximate solutions in a network of notices are determined was introduced. The main benefits to arise from the use of notice boards may include a possibility for a knowledge model compilation from independently developed individual submodels that, subsequently, can be easily consolidated to form a general model. In addition, another advantage of the proposed approach allows for both consistency verification of the designed model, and monitoring of potential contradictory cases that may occur in the model during its operation.
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Cholewa, W. (2014). Intuitionistic Notice Boards for Expert Systems. In: Gruca, D., Czachórski, T., Kozielski, S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-02309-0_36
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DOI: https://doi.org/10.1007/978-3-319-02309-0_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02308-3
Online ISBN: 978-3-319-02309-0
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