Abstract
Fuzzy relational compositions have been extended and studied from distinct perspectives, and their use on the classification problem has been already demonstrated too. One of the recent approaches foreshadowed the positive influence of the so-called grouping features. When this improvement is being applied, the universe of features is partitioned into a number of groups of features and then the relevant composition is applied. The use of the concept was demonstrated on the real classification of Odonata (dragonflies). This paper shows that the Bandler-Kohout subproduct may appropriately serve as the chosen compositions in order to obtain an effective tool. The concepts of excluding features and generalized quantifiers will be employed in the constructed method as well. Some interesting properties will be introduced and a real example of the influence of the new concept will be provided.
This research was partially supported by the NPU II project LQ1602 “IT4Innovations excellence in science” provided by the MŠMT.
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Notes
- 1.
By the type we mean, e.g., a color or a morphological type and the features are particular colors (green, black, blue etc.) or particular morphological types (Anisoptera, Zygoptera), see [21].
- 2.
These systems are formally based mainly on compositions and fuzzy quantifiers.
- 3.
Here, we abstract from the more complicated cases with more illnesses at the same time as usually there is always “the one” we seek for.
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Cao, N., Štěpnička, M., Burda, M., Dolný, A. (2018). On the Use of Subproduct in Fuzzy Relational Compositions Based on Grouping Features. In: Medina, J., Ojeda-Aciego, M., Verdegay, J., Perfilieva, I., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Communications in Computer and Information Science, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-319-91479-4_15
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