A Qualitative Model for Service Oriented Computing
Jian Ying Zhang*, Hepu Deng**, and Ryszard Kowalczyk*
*Faculty of Information & Communication Technologies, Swinburne University Of Technology, Victoria 3122, Australia
**School of Business Information Technology, RMIT University, Victoria 3010, Australia
In this paper we introduce fuzzy causal network as a qualitative model for service oriented computing. Firstly, we give a brief description of fuzzy causal network. Secondly, we explain how fuzzy causal network can be used as a qualitative model for service oriented computing. Thirdly, We use fuzzy causal network to model a real world problem in the area of service oriented computing to demonstrate the correctness and effectiveness of this model. Finally, we outline some open research problems for further study. The proposed model has potential to become a good framework for causal discovery and decision support in service oriented computing, especially in the cases where intensive interaction among various services are involved.
-  M. Baker, R. Buyya, and D. Laforenza, “Grids and Grid Technologies for Wide-area Distributed Computing,” International Journal of Software: Practice and Experience, Vol.32, pp. 1437-1466, 2002.
-  R. Buyya, D. Abramson, J. Giddy, and H. Stockinger, “Economic Models for Resource Management and Scheduling in Grid Computing,” International Journal of Concurrency and Computation: Practice and Experience, Vol.14, pp. 1507-1742, 2002.
-  R. Buyya and M. Murshed, “GridSim: A Toolkit for the Modelling and Simulation of Distributed Resource Management and Scheduling for Grid Computing,” International Journal of Concurrency and Computation: Practice and Experience, Vol.14, pp. 1175-1220, 2002.
-  J. A. Dickerson and B. Kosko, “Virtual Worlds As Fuzzy Cognitive Maps,” in Proc. IEEE Virtual Reality Annu. Int. Symp, New York, Sept, pp. 417-477, 1993.
-  I. Foster and C. Kesselman, “The Grid: Blueprint for A Future Computing Infrastructure,” Morgan Kaufmann Publishers, USA, 1999.
-  D. Geiger, T. Verma, and J. Pearl, “Identifying Independence in Bayesian Networks,” Networks, Vol.20, No.5, pp. 507-534, 1990.
-  M. Hagiwara, “Extended Fuzzy Cognitive Maps,” in Proc. 1st IEEE Int. Conf. on Fuzzy System, New York, NY, pp. 795-801, 1992.
-  S. Hwang and C. Kesselman, “A Flexible Framework for Fault Tolerance in the Grid,” International Journal of Grid Computing, Vol.1, pp. 251-272, 2003.
-  B. Kosko, “Fuzzy Cognitive Maps,” International Journal Manmachine Studies, Vol.24, pp. 65-75, 1986.
-  K. C. Lee, H. S. Kim, and S. C. Chu, “A Fuzzy Cognitive Map Based Bidirectional Inference Mechanism: An Application to Stock Investment Analysis,” in Proc. Japan/Korea Joint Conference on Expert Systems 10(1), pp. 193-196, 1994.
-  Z. Q. Liu, “Fuzzy Cognitive Maps: Analysis and Extension,” in Z. Q. Liu and S. Miyamoto (Eds.), Soft Computing: Human Centered Machines, Tokyo, Japan, Springer-Verlag, 2000.
-  Z. Q. Liu and J. Y. Zhang, “Interrogating the Structure of Fuzzy Cognitive Maps,” International Journal of Soft Computing, Vol.7, No.3, pp. 148-153, 2003.
-  Y. Miao and Z. Q. Liu, “On Causal Inference in Fuzzy Cognitive Maps,” IEEE Transaction on Fuzzy System, Vol.8, No.1, pp. 107-119, 2000.
-  Y. Miao and Z. Q. Liu, “Dynamical Cognitive Network – An Extension of Fuzzy Cognitive Map,” in Proc. IEEE Int. Conf. Tools Artificial Intelligent, Chicago, pp. 43-46, 1999.
-  K. Perusich, “Fuzzy Cognitive Maps for Policy Analysis,” in Proc. International Symposium, Technology and Society Technical Expertise Public Decisions, New York, pp. 369-373, 1996.
-  R. Satur and Z. Q. Liu, “A Context-Driven Intelligent Database Processing System Using Object Oriented Fuzzy Cognitive Maps,” International Journal of Intelligent Systems, Vol.11, No.9, pp. 671-689, 1996.
-  P. C. Silva, “New Forms of Combinated Matrices in Fuzzy Cognitive Maps,” Proc. of Int. Conf. on Neural Networks, Vol.2, pp. 771-776, 1995.
-  W. R. Taber, “Knowledge Processing With Fuzzy Cognitive Maps,” Expert Systems with Applications, Vol.2, pp. 83-87, 1991.
-  J. Y. Zhang, Z. Q. Liu, and S. M. Zhou, “Quotient FCMs – A Decomposition Theory for Fuzzy Cognitive Maps,” IEEE Transactions on Fuzzy Systems, Vol.11, pp. 593-604, 2003.
-  J. Y. Zhang, Z. Q. Liu, and S. Zhou, “Dynamic Domination in Fuzzy Causal Networks,” IEEE Transactions on Fuzzy Systems, Vol.14, No.1, pp. 42-57, 2006.
-  W. R. Zhang, S. S. Chen, W. Wang, and R. S. King, “A Cognitive-Map-Based Approach to the Coordination of Distributed Cooperative Agents,” IEEE Transactions on Systems, Man, and Cybernetics, Vol.22, pp. 103-114, Jan./Feb. 1992.
-  S. Zhou, Z. Q. Liu, and J. Y. Zhang, “Fuzzy Causal Networks: General Model, Inference and Convergence,” IEEE Transactions on Fuzzy Systems, Vol.14, No.3, pp. 1-10, 2006.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.