\bibitem{1}
A. F. Adekoya, A.T. Akinwale and O. E. Oke, {\it A medical expert system for managing tropical diseases}, Proceeding of the Third Conference on Science and National Development, (2008), 74-86.
\bibitem{2}
T. Akbarzadeh and M. Moshtagh-Khorasani, {\it A hierarchical fuzzy rule-based approach to aphasia diagnosis}, Journal of Biomedical Informatics, {\bf 40}\textbf{(5)} (2007) 465-475.
\bibitem{3}
K. Angelika and T. Heike, {\it Data-based fuzzy rule test for fuzzy modeling}, Fuzzy Sets and Systems, {\bf 123}\textbf{(3)} (2001), 343-358.
\bibitem{4}
H. Axer, J. Jantzen and V. K. Graf, {\it An aphasia database on the internet: a model for computer-assisted analysis in aphasiology}, Brain Lang, {\bf 75}\textbf{(3)} (2000), 390-398.
\bibitem{5}
H. Axer, J. Jantzen, V. Keyserlingk and G. Berks, {\it Aphasia Classification Using Neural Networks}, European Symposium on Intelligent Techniques Aachen, (2000), 111-115.
\bibitem{6}
C. Bernon, V. Chevrier, V. Hilaire and P. Marrow, {\it Applications of self-organizing multi-agent systems: an initial framework for comparison}, Informatica, {\bf 30}\textbf{(1)} (2006), 73-82.
\bibitem{7}
G. Berks, V. Keyserlingk, J. Jantzen, M. Dotoli and H. Axer, {\it Fuzzy clustering - A versatile mean to explore medical databases}, European Symposium on Intelligent Techniques, Aachen, Germany, 2000.
\bibitem{8}
J. J. Buckley, {\it Fuzzy mathematics in economics and engineering}, Physica-Verlag, Heidelberg, Germany, 2002.
\bibitem{9}
G. Castellano, A. M. Fanelli and C. Mencar, {\it A fuzzy clustering approach for mining diagnostic rules}, IEEE International Conference on Systems, Man and Cybernetics, (2003), 2007-2012.
\bibitem{10}
O. Coltell, M. Arregui, Z. Falomir, D. Corella and J. M. Ordovas, {\it multi-agent approaches for biomedical informatics applications in the health framework: genomic epidemiology and nutrigenomics},BioInfo Genomica subgroup of the Systems Integration and Re- Engineering Research Group (IRIS), Universitat Jaume I. Avda. Vicent Sos Baynat, s/n. 12071- Castellón, Spain, 2005.
\bibitem{11}
J. M. Corchado, J. Bajo, Y. Paz and D. I. Tapia, {\it Intelligent environment for monitoring Alzheimer patients, agent technology for health care}, Decision Support Systems, {\bf 44}\textbf{(2)} (2008), 382-396.
\bibitem{12}
G. Di Marzo, M. P. Gleizes and A. Karageorgos, {\it Self-organization and emergence in MAS: an overview}, Informatica (Slovenia), {\bf 30}\textbf{(1)} (2005), 45-54.
\bibitem{13}
J. P. Dunyak and D. Wunsch, {\it Fuzzy probability for system reliability}, Proceedings of the 37th IEEE Conference on Decision and Control, {\bf 3} (1998), 2934-2935.
\bibitem{14}
J. P. Dunyak, {\it A theory of independent fuzzy probability for system reliability}, IEEE transactions on fuzzy systems, {\bf 7}\textbf{(3)} (1999), 286-294.
\bibitem{15}
Q. T. Edwards and M. R. Palomares, {\it Assessment of risk for breast cancer utilizing history and quantitative models in primary care}, The Journal for Nurse Practitioners, {\bf 10} (2008), 361-369.
\bibitem{17}
Y. Gao, Z. Shang and A. Kokossis, {\it Agent-based intelligent system development for decision support in chemical process industry}, Expert Systems with Applications, {\bf 36}\textbf{(8)} (2009), 11099-11107.
\bibitem{18}
F. Gechter, V. Chevrier and F. Charpillet, {\it Localizing and tracking targets with a reactive multi-agent system}, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, (2004), 255-262.
\bibitem{20}
M. Ghijsen, W. N. H. Jansweijer and B. J. Wielinga, {\it Agent decision making for dynamic selection of coordination mechanisms}, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, {\bf 2} (2008), 87-91.
\bibitem{21}
H. González-Vélez, M. Mier, M. Julià -Sapé, T. N. Arvanitis, J. M. GarcÃa-Gómez, M. Robles, P. H. Lewis, S. Dasmahapatra, D. Dupplaw, A. Peet, C. Arús, B. Celda, S.V. Huffel and M. Lluch-Ariet, {\it Health agents: distributed multi-agent brain tumor diagnosis and prognosis, applied intelligence }, Applied intelligence, {\bf 30}\textbf{(3)} (2009), 191-202.
\bibitem{22}
C. A. Holzmann, C. A. Perez and E. Rosselot, {\it A fuzzy model for medical diagnosis}, Medical Progress Through Technology, {\bf 13}\textbf{(4)} (1988), 171-178.
\bibitem{23}
Z. Huang and T. D. Gedeon, {\it Information retrieval estimation via fuzzy probability}, World Automation Congress, (2006), 1-6.
\bibitem{24}
W. Huber, K. Poeck and K. Willmes, {\it The aachen aphasia test}, Advances in Neurology, {\bf 42} (1984), 291-303.
\bibitem{25}
K. G. Jolly, K. P. Ravindran, R. Vijayakumar and R. Sreerama Kumar, {\it Intelligent decision making in multi-agent robot soccer system through compounded artificial neural networks}, Robotics and Autonomous Systems, {\bf 55}\textbf{(7)} (2007), 589-596.
\bibitem{26}
C. Jun Su, {\it Mobile multi-agent based. distributed information platform (MADIP) for wide-area ehealth monitoring}, Computers in Industry, {\bf 59}\textbf{(1)} (2008), 55-68.
\bibitem{27}
M. K. Kaleem, {\it Role of expert systems in digital mammogram}, International Journal of Computer Science and Technology, {\bf 2}\textbf{(2)} (2011), 96-99.
\bibitem{28}
I. Karimi and E. Hüllermeier, {\it Risk assessment system of natural hazards: a new approach based on fuzzy probability}, Fuzzy Sets and Systems, {\bf 158}\textbf{(9)} (2007), 987-999.
\bibitem{29}
R. Kenarangui, {\it Event-tree analysis by fuzzy probability}, IEEE transactions on reliability, {\bf 40}\textbf{(1)} (1991), 120-124.
\bibitem{30}
J. H. Kim and P. Vadakkepat, {\it Multi-agent systems: a survey from the robot-soccer perspective}, Intelligent Automation and Soft Computing, {\bf 6}\textbf{(1)} (2000), 3-17.
\bibitem{31}
J. Klüver, C. Stoica and R. Unland, {\it Multi-Agent system and soft computing technologies as a fruitful symbiosis for reliable medical diagnoses}, BISC FLINT-CIBI International Joint Workshop on Soft Computing for Internet and Bioinformatics, University of Berkeley, US, 2003.
\bibitem{32}
B. H. Kumar, {\it A fuzzy expert system design for analysis of body sounds and design of an unique electronic stethoscope (development of HILSA kit)}, Biosensors and Bioelectronics, {\bf 22}\textbf{(6)} (2007), 1121-1125.
\bibitem{33}
G. B. Laleci, A. Dogac, M. Olduz, I. Tasyurt, M. Yuksel and A. Okcan, {\it SAPHIRE: A multi-agent system for remote healthcare monitoring through computerized clinical guidelines}, Agent technology and ehealth, Whitestein Series in Software Agent Technologies and Autonomic Computing, (2008), 25-44.
\bibitem{34}
I. B. Laszlo, {\it Cooperative medical diagnoses elaboration by physicians and artificial agents, emergent properties in natural and artificial complex systems}, from system complexity to emergent properties, Understanding Complex Systems, (2009), 315-339.
\bibitem{35}
S. Li, {\it AgentStra: an Internet-based multi-agent intelligent system for strategic decision-making}, Expert Systems with Applications, {\bf 33}\textbf{(3)} (2007), 565-571.
\bibitem{36}
C. Linard, N. Ponc, D. Fontenille and E. F. Lambin, {\it A multi-agent simulation to assess the risk of malaria re-emergence in southern France}, Ecological modeling, {\bf 220}\textbf{(2)} (2009), 160-174.
\bibitem{37}
M. B. Menhaj, {\it Computational intelligence: fundamentals of neural networks}, {\bf 1} (2008), 332-346.
\bibitem{38}
M. Moshtagh-Khorasani, M. R. Akbarzadeh. T, N. Jahangiri and M. Khoobdel, {\it An intelligent system based on fuzzy probabilities for medical diagnosis – a study in aphasia diagnosis}, Journal of Research in Medical Sciences, {\bf 14}\textbf{(2)} (2009), 89-103.
\bibitem{40}
U. K. Nagah, S. A. Aziz, M. E. Aziz, M. Murad, N. M. Mahdi, A. Y. Shakaff, N. A. Isa, M. Y. Mashor and M. R. Arshad, {\it A BI-RADS based expert systems for the diagnoses of breast diseases}, American Journal of Applied Sciences, {\bf 4}\textbf{(11)} (2007), 865-873.
\bibitem{41}
M. Neshat, M. B. Naghibi and A. Esmaelzadeh, {\it Fuzzy expert system design for diagnosis of liver disorder}, International Symposium on Knowledge Acquisition And Modeling, (2008), 252-256.
\bibitem{42}
M. T. Nguyen, P. Fuhrer and J. Pasquier-Rocha, {\it Enhancing e-health information systems with agent technology}, International Journal of Telemedicine and Applications, 2009.
\bibitem{43}
B. Orgun and J. Vub, {\it HL7 ontology and mobile agents for interoperability in heterogeneous medical information systems}, Computers in Biology and Medicine, {\bf 36}\textbf{(7-8)} (2006), 817-836.
\bibitem{44}
C. Outsojannis, M. Tsimara and E. Nabil, {\it HIROFILOS: a medical expert system for prostate diseases}, Proc. of the 7th WSEAS Int. Conf. on Computational Intelligence, Man-Machine Systems and Cybernetics, Wisconsin, USA, (2008), 254-259.
\bibitem{45}
A. Pan, S. Y. S. Leung, K. L. Moon and K. W. Yeung, {\it Optimal reorder decision-making in the agent-based apparel supply chain}, Expert Systems with Applications, {\bf 36}\textbf{(4)} (2009), 8571-8581.
\bibitem{46}
G. Picard, C. Bernon and M. P. Gleizes, {\it G. Picard, C. Bernon and M.-P. Gleizes}, Engineering Self-Organizing systems, Third International Workshop on Engineering Self-Organizing Applications (ESOA’05), Utrecht, The Netherlands, (2005), 31-45.
\bibitem{48}
R. Radha and S. P. Rajagopalan, {\it Fuzzy logic approach for diagnosis of diabetis}, Information Technology Journal, {\bf 6}\textbf{(1)} (2007), 96-102.
\bibitem{49}
L. Ralescu, D. A. Ralescu and Y. Yamakata, {\it Inference by aggregation of evidence with applications to fuzzy probabilities}, Information Sciences, {\bf 177}\textbf{(2)} (2007), 378-387.
\bibitem{50}
F. Tatari and M. R. Akbarzadeh. T, {\it Intensity assessment of pedestrian collisions in city of Mashhad based on fuzzy probabilities}, Proceedings of the Joint International Fuzzy Systems Association World Congress and European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, 2009.
\bibitem{51}
F. Tatari, M. R. Akbarzadeh. T and A. Azemi, {\it Agent-based centralized fuzzy kalman filtering for uncertain stochastic estimation}, Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, Cyprus, 2009.
\bibitem{52}
F. Tatari, M. R. Akbarzadeh. T and A. Sabahi, {\it Fuzzy-probabilistic multi agent system for breast cancer risk assessment and insurance premium assignment}, Journal of Biomedical informatics, {\bf 45}\textbf{(6)} (2012) 1021-1034.
\bibitem{53}
J. Tian and H. Tianfield, {\it A multi-agent approach to the design of an E-medicine system}, Multi-agent system technology, Lecture Notes in Computer Science, (2003), 85-94.
\bibitem{54}
M. F. Torbaghan and D. Meyer, {\it MEDUSA- a fuzzy expert system for medical diagnosis of acute abdominal pain}, Methods of Information in Medicine, {\bf 33}\textbf{(5)} (1994), 522-529.
\bibitem{55}
M. Ulieru, M. Hadzic and E. Chang, {\it Soft computing agents for e-Health in application to the research and control of unknown diseases}, Information Sciences, {\bf 176} (2006), 1190-1214.
\bibitem{56}
S. Uckun, {\it Intelligent systems in patient monitoring and therapy management, a survey of research projects}, International Journal of Clinical monitoring and Computing, {\bf 11}\textbf{(4)} (1994), 241-253.
\bibitem{57}
R. Unland and M. Ulieru, {\it Swarm intelligence and the holonic paradigm: a promising symbiosis for a medical diagnostic system}, Knowledge-Based Intelligent Information and Engineering Systems, 9th International Conference, KES 2005, Melbourne, Australia, (2005), 154-160.
\bibitem{58}
F. E. Uzoka, J. Osuji and O. Obot, {\it Clinical DSS in the diagnosis of malaria: a case comparison of two soft computing methodologies}, Expert Systems with Applications, {\bf 38}\textbf{(3)} (2011), 1537-1553.
\bibitem{59}
S. Y. M. Vaghefi and T. M. Isfahani, {\it Roses: an expert system for diagnosing six neurologic diseases in children}, International Conference of Intelligent Systems and Agents, (2009), 259-260 .
\bibitem{60}
G. Wang, S. Mao and Y. He, {\it Optimal decision fusion with fuzzy priori probabilities}, Fourth International Conference on Signal Processing Proceedings, {\bf 2} (1998), 1277-1280.
\bibitem{61}
G. Wang, S. Mao and Y. He, {\it Distributed detection fusion with fuzzy priori probabilities and fuzzy cost function}, IEEE international radar conference, (2000), 146-150.
\bibitem{62}
M. Wooldridge, {\it An introduction to multi agent systems}, John Wiley and Sons, 2009.
\bibitem{64}
D. Yu and W. S. Park, {\it Combination and evaluation of expert opinions characterized in terms of fuzzy probabilities}, Annals of Nuclear Energy, {\bf 27}\textbf{(8)} (2000), 713-726.
\bibitem{65}
L. Yu, S. Wang and K. Keung Lai, {\it An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: the case of credit scoring}, European Journal of Operational Research, {\bf 195}\textbf{(3)} (2009), 942-959.
\bibitem{66}
L.A. Zadeh, {\it Probability measures of fuzzy events}, Journal of Mathematical Analysis and Applications, {\bf 23}\textbf{(2)} (1968), 421-427.
\bibitem{67}
L. A. Zadeh, {\it Fuzzy probabilities}, Information processing and management, {\bf 20}\textbf{(3)} (1984), 363-372.
\bibitem{68}
L. A. Zadeh, {\it Discussion: probability theory and fuzzy logic are complementary rather than competitive}, Technometrics, {\bf 37}\textbf{(3)} (1995), 271-276.
\bibitem{69}
L. A. Zadeh, {\it Toward a perception-based theory of probabilistic reasoning with imprecise probabilities}, Journal of statistical planning and inference, {\bf 105}\textbf{(1)} (2002), 233-264.
\bibitem{70}
S. Zahan, R. Bogdan and R. Capalneanu, {\it Fuzzy expert system for cardiovascular disease diagnosis-tests and performance evaluation}, 5th Seminar on Neural Network Applications in Electrical Engineering, Ugoslavia, (2000), 65-68.
\bibitem{71}
T. Zhang and D. Zhang, {\it Agent-based simulation of consumer purchase decision-making and the decoy effect}, Journal of Business Research, {\bf 60}\textbf{(8)} (2007), 912-922.
\bibitem{72}
X. Zhao, S. Yuan, Z. Yu, W. Ye and J. Cao, {\it Designing strategy for multi-agent system based large structural health monitoring}, Expert Systems with Applications, {\bf 34}\textbf{(2)} (2008), 1154-1168.
\bibitem{73}
J. Zhou, {\it Reliability assessment method for pressure piping containing circumferential defects based on fuzzy probability}, International Journal of Pressure Vessels and Piping, {\bf 82}\textbf{(9)} (2005), 669-678.
)