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http://hdl.handle.net/1942/26229
Title: | A new approach using Mixed Graphical Model for automatic design of Fuzzy Cognitive Maps from ordinal data | Authors: | DIKOPOULOU, Zoumpolia PAPAGEORGIOU, Elpiniki Mago, Vijay VANHOOF, Koen |
Issue Date: | 2017 | Publisher: | IEEE | Source: | 2017 IEEE International conference on fuzzy systems (FUZZ-IEEE), IEEE, (ART N° 17137646). | Series/Report: | IEEE International Conference on Fuzzy Systems | Abstract: | This research study proposes a new method for automatic design of Fuzzy Cognitive Maps (FCM) using ordinal data based on the efficient capabilities of mixed graphical models. The approach is able to model all variables on the proper domain of ordinal data by combining a new class of Mixed Graphical Models (MGMs) with a structure estimation approach based on generalized covariance matrices. It can work with a large amount of categorical data. It represents its structure as a sparser graph, while maintaining a high likelihood, by producing an adjacent weight matrix, where relationships are expressed by conditional independences. By maximizing the likelihood indicates that the model fits better to the data under the assumption that the observed data are the most likely data. The whole approach was implemented in a business intelligence problem of evaluating the attractiveness of Belgian companies. Through the analysis of results and conducted scenarios, the usefulness of the proposed MGM method for designing FCM capable to make decisions, is demonstrated. Comparisons with the previous known methodology for automatic construction of FCMs based on distance-based algorithm, showed that the proposed approach provides more understandable/useful relationships among nodes, through a less complex structure for making decisions. | Notes: | [Dikopoulou, Zoumpolia] Hasselt Univ, Res Grp Business Informat, Fac Business Econ, Diepenbeek Campus, B-3590 Diepenbeek, Belgium. [Papageorgiou, Elpiniki] Technol Educ Inst Sterea Ellada, Dept Comp Engn, 3rd Km Old Natl Rd, Lamia Athens, Greece. [Mago, Vijay] Lakehead Univ, Dept Comp Sci, Thunder Bay, ON P7B 5E1, Canada. [Vanhoof, Koen] Hasselt Univ, Fac Business Econ, Res Grp Business Informat, Diepenbeek Campus, B-3590 Diepenbeek, Belgium. | Keywords: | fuzzy cognitive map; mixed graphical model; ordinal data; graph-based methods;computer science, artificial intelligence; computer science, theory & methods; engineering, electrical & electronic | Document URI: | http://hdl.handle.net/1942/26229 | ISBN: | 9781509060351 | DOI: | 10.1109/FUZZ-IEEE.2017.8015607 | ISI #: | 000426449100224 | Rights: | (C) 2017 IEEE | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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