Abstract
In this work we present a tool for the development of Fuzzy Cognitive Map (FCM). In our proposed tool, the FCM is defined by concepts and relationships that can change during the execution time. Using the tool, we can design a FCM, follow the evolution of a given FCM, change FCM defined previously, etc. Our tool allows to use the classical casual relationship defined in [2, 4], or to define the casual relationships according to the problem modeled, which can be statics or dynamics, fuzzy or not. In this work, we present the data structures, the interfaces, and the classes that compose the tool. Additionally, we give some examples of utilization of our tool in problems where we need define them specific casual relationships.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Axelrod, R.: The Structure of Decision: Cognitive Maps of Political Elites. Princeton University Press, Princeton (1976)
Kosko, B.: Fuzzy Cognitive Maps. International Journal of Man-Machine Studies 24, 65–75 (1986)
Eden, C.: On the Nature of Cognitive Maps. Journal of Management Studies 29, 261–265 (1992)
Kosko, B.: Fuzzy Engineering. Prentice-Hall, New Jersey (1999)
Aguilar, J.: A Dynamic Fuzzy-Cognitive-Map Approach Based on Random Neural Networks. International Journal of Computational Cognition 1, 91–107 (2003)
Aguilar, J.: A Survey about Fuzzy Cognitive Maps Papers. International Journal of Computational Cognition 3, 27–33 (2005) (invited paper)
Aguilar, J.: Different Dynamic Causal Relationship Approaches for Fuzzy Cognitive Maps. Technical Report N 10-2009, CEMISID, Universidad de los Andes (2009) (submitted to publication)
Khan, M., Quaddus, M.: Group Decision Support using Fuzzy Cognitive Maps for Causal Reasoning. Group Decision and Negotiation Journal 13, 463–480 (2004)
Sharif, A., Irani, Z.: Exploring Fuzzy Cognitive Mapping for IS Evaluation. European Journal of Operational Research 173, 1175–1187 (2006)
Contreras, J., Aguilar, J.: La Herramienta FCM Designer. Technical Report N 25-2008, CEMISID, Universidad de los Andes
Papageorgiou, E., Stylios, C., Groumpos, P.: An integrated two-level hierarchical decision making system based on fuzzy cognitive maps. IEEE Trans. Biomed. Eng. 50, 1326–1339 (2003)
Papageorgiou, E., Parsopoulos, K., Groumpos, P., Vrahatis, M.: Fuzzy Cognitive Maps Learning through Swarm Intelligence. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 344–349. Springer, Heidelberg (2004)
Stach, W., Kurgan, L., Pedrycz, W.: A Survey of Fuzzy Cognitive Map Learning Methods. In: Grzegorzewski, P., Krawczak, M., Zadrozny, S. (eds.) Issues in Soft Computing: Theory and Applications, Exit, pp. 71–84 (2005)
Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Genetic Learning of Fuzzy Cognitive Maps. Fuzzy Sets and Systems 153, 371–401 (2005)
Elpiniki, I., Papageorgioua, E., Stylios, C., Groumpos, P.: Unsupervised learning techniques for fine-tuning fuzzy cognitive. Int. J. Human-Computer Studies 64, 727–743 (2006)
Papageorgiou, E., Spyridonos, P., Glotsos, D., Stylios, C., Ravazoula, P., Nikiforidis, G., Groumpos, P.: Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Applied Soft Computing 8, 820–828 (2008)
Perozo, N., Aguilar, J., Teran, O.: A Verification Method for MA-SOES. Technical Report N 14-2009, CEMISID, Universidad de los Andes (2009) (submitted to publication)
Xirogiannis, G., Glykas, M.: Fuzzy Cognitive Maps in Business Analysis and Performance Driven Change. IEEE Transactions in Engineering Management 51, 334–351 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Jose, A., Contreras, J. (2010). The FCM Designer Tool. In: Glykas, M. (eds) Fuzzy Cognitive Maps. Studies in Fuzziness and Soft Computing, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03220-2_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-03220-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03219-6
Online ISBN: 978-3-642-03220-2
eBook Packages: EngineeringEngineering (R0)