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http://hdl.handle.net/1942/30512
Title: | A Preliminary Study on Symbolic Fuzzy Cognitive Maps for Pattern Classification | Authors: | FRIAS DOMINGUEZ, Mabel NAPOLES RUIZ, Gonzalo Filiberto, Yaima Bello, Rafael VANHOOF, Koen |
Issue Date: | 2019 | Publisher: | Springer | Source: | Figueroa-García, Juan Carlos; Duarte-González, Mario; Jaramillo-Isaza, Sebastián; Orjuela-Cañon, Alvaro David; Díaz-Gutierrez, Yesid (Ed.). Applied Computer Sciences in Engineering 6th Workshop on Engineering Applications, WEA 2019, Santa Marta, Colombia, October 16–18, 2019, Proceedings, Springer, p. 285 -295 | Series/Report: | Communications in Computer and Information Science book series | Series/Report no.: | 1052 | Abstract: | Within the neural computing field, Fuzzy Cognitive Maps (FCMs) are attractive simulation tools to model dynamic systems by means of well-defined neural concepts and causal relationships, thus equipping the network with inter-pretability features. However, such components are normally described by quantitative terms, which may be difficult to handle by experts. Recently, we proposed a symbolic FCM scheme (termed FCM-TFN) in which both weights and activation values are described by triangular fuzzy numbers. In spite of the promising results, the model's performance in solving prediction problems remains uncertain. In this paper, we explore the prediction capabilities of the FCM-TFN model in pattern classification and concluded that our method is able to perform well when compared with traditional classifiers. | Keywords: | fuzzy cognitive maps;computing with words;classification | Document URI: | http://hdl.handle.net/1942/30512 | ISBN: | 9783030310189 | ISSN: | 1865-0929 | DOI: | 10.1007/978-3-030-31019-6_25 | ISI #: | WOS:000525351100025 | Rights: | 2020 Springer Nature Switzerland AG. Part of Springer Nature. | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
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