Nguepy Dongmo, Gaël; Koguep Njionou, Blaise Blériot; Kwuida, Léonard; Onabid, Mathias (2023). Rough Fuzzy Concept Analysis via Multilattice In: Campagner, Andrea; Lenz, Oliver Urs; Xia, Shuyin; Ślęzak, Dominik; Wąs, Jarosław; Yao, JingTao (eds.) Rough Sets: International Joint Conference, IJCRS 2023, Krakow, Poland, October 5–8, 2023, Proceedings. Lecture Notes in Computer Science: Vol. 14481 (pp. 495-508). Cham: Springer Nature Switzerland 10.1007/978-3-031-50959-9_34
Full text not available from this repository. (Request a copy)J. Medina and J. Ruiz-Calvino presented Fuzzy Formal Concept Analysis via multilattice (M-FCA for short) as a fuzzy generalization of Formal Concept Analysis with multilattice as underlying set of truth degree. The truth degrees are not always linear or the existence of a least upper bound of two elements are no longer required, but there is a possibility of having minimal upper bounds, and dually. Hence, M-FCA is a more flexible than Fuzzy Formal Concept Analysis (L-FCA). We investigate formal M-concepts with rough intents and, get a generalization of E. Bartl and J. Konecny work. First, we define appropriate concept forming operators and give their properties. Next, we show that the concepts in the new framework form a complete multilattice.
Item Type: |
Book Section (Book Chapter) |
|---|---|
Division/Institute: |
Business School > Institute for Applied Data Science & Finance Business School > Institute for Applied Data Science & Finance > Applied Data Science Business School |
Name: |
Nguepy Dongmo, Gaël; Koguep Njionou, Blaise Blériot; Kwuida, Léonard  0000-0002-9811-0747; Onabid, Mathias; Campagner, Andrea; Lenz, Oliver Urs; Xia, Shuyin; Ślęzak, Dominik; Wąs, Jarosław and Yao, JingTao |
ISSN: |
1611-3349 |
ISBN: |
978-3-031-50958-2 |
Series: |
Lecture Notes in Computer Science |
Publisher: |
Springer Nature Switzerland |
Language: |
English |
Submitter: |
Léonard Kwuida |
Date Deposited: |
21 Aug 2024 10:42 |
Last Modified: |
21 Aug 2024 10:42 |
Publisher DOI: |
10.1007/978-3-031-50959-9_34 |
URI: |
https://arbor.bfh.ch/id/eprint/22211 |
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