References

• Arnold, B. F., Grossl, I. et al. 2002. The minimax, the minimin, and the Hurwicz adjustment principle. Theory and Decision, 52(3), 233-240.
• Bandi, S., and Thalmann, D. 2000. Path finding for human motion in virtual environments. Computational Geometry: Theory and Applications, 15(1-3): 103-127.
• Cang, Y., and Danwei, W. (2000). Novel Behavior Fusion method for the navigation of mobile robots. Paper presented at the 2000 IEEE International Conference on Systems, Man and Cybernetics, Nashville, USA. 3526-3531
• Chaudhuri, P., Khandekar, R., et al. 2004. An efficient central path algorithm for virtual navigation. Paper presented at the International Computer Graphics, 2004, Crete, Greece. 188-195
• Chen, T. Y., and Yu, Y. T. 1997. On the Criteria of Allocating Test Cases under Uncertainty. Paper presented at the Fourth Asia-Pacific Software Engineering and International Computer Science Conference, Hong Kong. 405-413
• Choobineh, F., and Li, H. 1993. An Index for Ordering Fuzzy Numbers. Fuzzy Sets and Systems, 54(3): 287-294.
• Darken, R. P., and Sibert, J. L. (1993). A toolset for navigation in virtual environments. Paper presented at the Proceedings of the 6th annual ACM symposium on User interface software and technology, Atlanta, Georgia, United States. 157-165
• Ho-Sub, S., So-Joeng, Y., et al. 2000. Fuzzy reinforcement function for the intelligent agent to process vague goals. Paper presented at the Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, Atlanta, GA, USA. 29 - 33
• Huang, C. C. 1989. A Study on The Fuzzy Ranking and Its Application on The Decision Support System. Phd Thesis, Tamkang University, Taiwan.
• Jaafar, J., and McKenzie, E. 2006. Behaviour Coordination of Virtual Agent Navigation Using Fuzzy Logic. Paper presented at the International Conference on Fuzzy Systems (Fuzz-IEEE 2006), Vancouver, Canada. 1139-1145
• Jaafar, J., and Mckenzie, E. 2007. A reactive architecture for autonomous agent navigation using fuzzy logic. Paper presented at the Artificial Intelligence and Soft Computing 2007, Palma de Mallorca, Spain. 584-039
• Kosko, B. 1992. Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. New Jersey: Prentice-Hall inc.
• Kuffner, J. J. 1999. Autonomous Agent for Real-Time Animation. PhD Thesis, Stanford University, Stanford, USA.
• Lamarche, F., and Donikian, S. 2004. Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environment. Paper presented at the Eurographics 2004, Grenoble, France. 509-518
• Li, T.-Y., Lien, J.-M., et al. 1999. Automatically generating virtual guided tours. Paper presented at the ‘99 Computer Animation Conference, Geneva, Switz. 99-106
• Lozano, M., and Molina, J. 2002. A neural approach to an attentive navigation for 3D intelligent virtual agents. Paper presented at the 2002 IEEE International Conference on Systems, Man and Cybernetics, Hammamet, Tunisia. 5-10 Mabuchi, S. 1988. An approach to the comparison of fuzzy subsets with an alpha-cut dependent index. IEEE Transactions on Systems, Man and Cybernetics, 18(2): 264-272.
  Piaggio, M., Sgorbissa, A., et al. 1997. Autonomous robot navigation using a reactive agent. In M. Lenzerini (Ed.), AI*IA 97: Advances in Artificial Intelligence (pp. 96-105): Springer. 13
• Rook, M., and Kamphuis, A. 2005. Path Finding using Tactical Information. Paper presented at the Eurographics/ACM SIGRAPH Symposium on Computer Animation (2005), Los Angeles, USA. 1-2 Ross, T. J. (2004). Fuzzy Logic with Engineering Application (2nd ed.). West Sussex: John Wiley & Sons.
• Salomon, B., Garber, M., et al. 2003. Interactive navigation in complex environments using path planning. Paper presented at the 2003 Symposium on Interactive 3D graphics, Monterey, California. 41-50 Shafer, G. (1976). A Mathematical Theory of Evidence. Princeton, NJ: Princeton University Press.
• Stilman, M., and Kuffner, J. J. 2004. Navigation Among Movable Obstacles: Real-time reasoning in complex environments. Paper presented at the 4th IEEE-RAS International Conference on Humanoid Robots, 2004,Santa Monica, USA. 322-341
• Tozour, P. 2003. Search Space Representations. In S. Rabin (Ed.), AI Game Programming Wisdom 2. USA: Charles River Media Inc.
• Velagic, J., Lacevic, B., et al. 2006. A 3-level autonomous mobile robot navigation system designed by using reasoning/ search approaches. Robotics and Autonomous Systems, 54(12): 989-1004.
• Wan, T., and Tang, T. (2003). An intelligent vehicle model for 3D visual traffic simulation. Paper presented at the International Conference on Visual Information Engineering (VIE 2003): 206-209
• Wang, F. (2002). Study of an Adaptive and Multifunctional Computational Behaviour Generation Model for Virtual Creature. PhD Thesis, University of Edinburgh, Edinburgh, UK.
• Wang, F., and McKenzie, E. 1999. A multi-agent based evolutionary artificial neural network for general navigation in unknown environments. Paper presented at the Third Annual Conference on Autonomous Agents, Seattle, United States. 154-159
• Wang, L.-X. 1997. A Course on Fuzzy System and Control. London: Prentice-Hall International Inc.
  Young-Chul, K., Sung-Bae, C., et al. 2002. The Dempster-Shafer approach to map-building for an autonomous mobile robot with fuzzy controller. Paper presented at the 2002 AFSS International Conference on Fuzzy Systems, Calcutta, India. 40-46
• Yuan, Y. 1991. Criteria for evaluating fuzzy ranking methods. Fuzzy Sets and Systems, 43(2): 139-157.