How to cite this paper
Marahel, A., Harounabadi, A & Mirabedini, S. (2012). Performance evaluation of enterprise architecture with a formal fuzzy model (FPN).Management Science Letters , 2(7), 2367-2376.
Refrences
Afshani, J., & Harounabadi, A., & Abbasi Dezfouli, M. (2012). A new method for designing uncertain enterprise architecture. Management science letters, 2, 689–696.
Bai, X.M. (2008). An application with UML object-based PETRI NETS for C4ISR architecture simulation validation. Proceeding of a seventh international conference on machine learning and cybernetics, Kunming.
Behbahaninejad, P., Harounabadi, A., & Mirabedini, S.J. (2012). Evaluating software architecture using fuzzy formal models. Management Science Letters, 2, 469–476.
Bostan-Korpeoglu, B., & Yazici, A. (2006). A fuzzy Petri Net model for intelligent database. Data & Knowledge Engineering, 8, 112-122.
Deft, R. (2000). Organization Theory and Design.
Javanbakht, M., Rezaie, R., Shams, F., & Seyyedi, M.A. (2008). A new method for decision making and planning in enterprises. Proceedings of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008), 7-11.
Javadpour, R., & Shams, F. (2009). Performance evaluation of electronic city architecture using colored Petrinets, The 2ndConference on Electronic City, Tehran.
Lindsay, A., Downs, D., & Lunn, K. (2003). Business processes –attempts to find a definition. Information and Software Technology, 45, 1015-1019.
Haroonabadi, A., & Teshnehlab, M. (2008). A novel method for behavior modeling in uncertain information systems. World Academy of Science, Engineering and Technology, 41, 959-966.
H?jek, P., & Olej, V. (2008). Air quality modeling by Kohonen,s self-organizing feature maps and LVQ neural networks. WSEAS Transaction On Environmet And Development,1(4) ,45-55.
Ma, Z. (2005). Fuzzy information modeling with the UML. Idea Group Publishing, 153-176.
Ma, Z.M., Zhang, F., & Yan, L. (2011a). Fuzzy information modeling in UML class diagram and relational database models. Applied Soft Computing, 11, 4236-4245.
Ma , Z.M. , Yan , L., & Zhang, F. (2011c). Modeling fuzzy information in UML class diagrams and object oriented database models. Fuzzy Sets & Systems, 186, 26-46.
Motameni, H. Movaghar, A., Daneefar, I., Nematzadeh, H., & Bakhshi, J. (2008). Mapping to convert activity diagram in fuzzy UML to fuzzy Petri Net. World Applied Sciences Journal, 3(3), 514-521.
Mozaffari, M., Harounabadi, A., & Mirabedini, S.J. (2011). A method for validating a behavior of enterprise architecture. World Applied Sciences, 14(6), 831-841.
Rezaei, R., & Shams, F. (2009). Providing a comprehensive method for developing and evaluating enterprise architecture plan, The first Conference on Enterprise Architecture in Practice, Isfahan, Iran.
Shin, M.E., Levis, A.H., & Wagenhals, L.W. (2010). Transformation of UML-based system model to design/CPN model for validating system behavior. System Engineering, 5(4), 288-312.
Zadeh, L. A. (1983). The role of fuzzy logic in the management of uncertainty in expert system. Fuzzy Sets Systems, 11, 199-227.
Bai, X.M. (2008). An application with UML object-based PETRI NETS for C4ISR architecture simulation validation. Proceeding of a seventh international conference on machine learning and cybernetics, Kunming.
Behbahaninejad, P., Harounabadi, A., & Mirabedini, S.J. (2012). Evaluating software architecture using fuzzy formal models. Management Science Letters, 2, 469–476.
Bostan-Korpeoglu, B., & Yazici, A. (2006). A fuzzy Petri Net model for intelligent database. Data & Knowledge Engineering, 8, 112-122.
Deft, R. (2000). Organization Theory and Design.
Javanbakht, M., Rezaie, R., Shams, F., & Seyyedi, M.A. (2008). A new method for decision making and planning in enterprises. Proceedings of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008), 7-11.
Javadpour, R., & Shams, F. (2009). Performance evaluation of electronic city architecture using colored Petrinets, The 2ndConference on Electronic City, Tehran.
Lindsay, A., Downs, D., & Lunn, K. (2003). Business processes –attempts to find a definition. Information and Software Technology, 45, 1015-1019.
Haroonabadi, A., & Teshnehlab, M. (2008). A novel method for behavior modeling in uncertain information systems. World Academy of Science, Engineering and Technology, 41, 959-966.
H?jek, P., & Olej, V. (2008). Air quality modeling by Kohonen,s self-organizing feature maps and LVQ neural networks. WSEAS Transaction On Environmet And Development,1(4) ,45-55.
Ma, Z. (2005). Fuzzy information modeling with the UML. Idea Group Publishing, 153-176.
Ma, Z.M., Zhang, F., & Yan, L. (2011a). Fuzzy information modeling in UML class diagram and relational database models. Applied Soft Computing, 11, 4236-4245.
Ma , Z.M. , Yan , L., & Zhang, F. (2011c). Modeling fuzzy information in UML class diagrams and object oriented database models. Fuzzy Sets & Systems, 186, 26-46.
Motameni, H. Movaghar, A., Daneefar, I., Nematzadeh, H., & Bakhshi, J. (2008). Mapping to convert activity diagram in fuzzy UML to fuzzy Petri Net. World Applied Sciences Journal, 3(3), 514-521.
Mozaffari, M., Harounabadi, A., & Mirabedini, S.J. (2011). A method for validating a behavior of enterprise architecture. World Applied Sciences, 14(6), 831-841.
Rezaei, R., & Shams, F. (2009). Providing a comprehensive method for developing and evaluating enterprise architecture plan, The first Conference on Enterprise Architecture in Practice, Isfahan, Iran.
Shin, M.E., Levis, A.H., & Wagenhals, L.W. (2010). Transformation of UML-based system model to design/CPN model for validating system behavior. System Engineering, 5(4), 288-312.
Zadeh, L. A. (1983). The role of fuzzy logic in the management of uncertainty in expert system. Fuzzy Sets Systems, 11, 199-227.