Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/29797
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | NAPOLES RUIZ, Gonzalo | - |
dc.contributor.author | VAN HOUDT, Greg | - |
dc.contributor.author | LAGHMOUCH, Manal | - |
dc.contributor.author | Goossens, Wouter | - |
dc.contributor.author | Moesen, Quinten | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.date.accessioned | 2019-10-21T13:12:49Z | - |
dc.date.available | 2019-10-21T13:12:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Howlett, Robert; Jain, Lakhmi C. (Ed.). Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Springer,p. 89-98 | - |
dc.identifier.isbn | 9789811383106 | - |
dc.identifier.issn | 2190-3018 | - |
dc.identifier.uri | http://hdl.handle.net/1942/29797 | - |
dc.description.abstract | Modeling complex systems by means of computational models has enabled experts to understand the problem domain without the need of waiting for the real events to happen. In that regard, fuzzy cognitive maps (FCMs) have become an important tool in the neural computing field because of their flexibility and transparency. However, obtaining a model able to align its dynamical behavior with the problem domain is not always trivial. In this paper, we discuss some aspects to be considered when designing FCM-based simulation models by relying on a business intelligence case study. In a nutshell, when the fixed point is unique, we recommend to focus on the number of iterations to converge instead of focusing on the reached attractor and stress the importance of the transfer function chosen in the model. | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.ispartofseries | Smart Innovation, Systems and Technologies | - |
dc.subject.other | Fuzzy cognitive maps; Interpretability; Neural cognitive modeling; Recurrent neural networks; Simulation | - |
dc.title | Fuzzy Cognitive Maps: A Business Intelligence Discussion | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Howlett, Robert | - |
local.bibliographicCitation.authors | Jain, Lakhmi C. | - |
local.bibliographicCitation.conferencedate | 17 June 2019 - 19 June 2019 | - |
local.bibliographicCitation.conferencename | Smart Digital Futures | - |
local.bibliographicCitation.conferenceplace | Malta | - |
dc.identifier.epage | 98 | - |
dc.identifier.spage | 89 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | Singapore | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 142 | - |
dc.identifier.doi | 10.1007/978-981-13-8311-3_8 | - |
local.bibliographicCitation.btitle | Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019) | - |
item.accessRights | Restricted Access | - |
item.validation | vabb 2021 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | NAPOLES RUIZ, Gonzalo; VAN HOUDT, Greg; LAGHMOUCH, Manal; Goossens, Wouter; Moesen, Quinten & DEPAIRE, Benoit (2019) Fuzzy Cognitive Maps: A Business Intelligence Discussion. In: Howlett, Robert; Jain, Lakhmi C. (Ed.). Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Springer,p. 89-98. | - |
item.contributor | NAPOLES RUIZ, Gonzalo | - |
item.contributor | VAN HOUDT, Greg | - |
item.contributor | LAGHMOUCH, Manal | - |
item.contributor | Goossens, Wouter | - |
item.contributor | Moesen, Quinten | - |
item.contributor | DEPAIRE, Benoit | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
fcm_final.pdf Restricted Access | Peer-reviewed author version | 303.35 kB | Adobe PDF | View/Open Request a copy |
10.1007@978-981-13-8311-38.pdf Restricted Access | Published version | 413.85 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
3
checked on Sep 2, 2020
Page view(s)
232
checked on Sep 7, 2022
Download(s)
136
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.