Advanced Distributed Simulation Research Consortium

SUBMITTED AND PUBLISHED PAPERS 1996-1997

M. Beheshti, and C. Hu, "Fuzzy Decision Making in Uncertain and Variable Environments with Uncertain Trustworthiness", Neural Parallel & Scientific Computations.
  • A. de Korvin and G. Kutiev, "Autonomous Control Vehicles Using Fuzzy-Neural Networks," EXPERSYS.
  • A. de Korvin, G.Kutiev, O. Sirisaengtaksin, "Neural Networks with Imprecise and Conflicting Data," Advances in Industrial Engineering Applications and Practice, Vol. II (1997), pp. 1085-1090.
  • M. Beheshti and W. Waller, "Instructional Software for Closed Laboratories in CS1, "The Integrating Technology Into Computer Science Education Conference, ITISE’97, June 1, 1997.
  • M. Beheshti, "Performance Evaluation for a Concurrence Control Mechanism in an ODBMS, 4th International Conference on Object-Oriented Information System, OOIS’97,  November 10, 1997.
  • M. Beheshti, A. Berrached, A. de Korvin, C. Hu, and O. Sirisaengtaksin, ‘Fuzzy Petri Nets for Decision Making in an Uncertain and Variable Environment," Neural, Parallel and Scientific Computations, September, 1997, pp.309-324.
  • A. de Korvin and R. Kleyle, "Transition Probabilities For Markov Chains Having Fuzzy States," J. of Stochastic Analysis and Applications (to appear).
  • A. de Korvin and Margaret F. Shipley, "A Fuzzy Logic Approach For Determining Expected Values: A Project Management Application," J. of The Operational Research Society, (1996), pp. 562-569.
  • A. de Korvin, P. Munter, and T. Scandura. "Promotion Decisions: A Rough Set Approach," Managerial Finance, Human Information Processing In Business Decision Making, Vol. 22, (1996), pp. 43-53.
  • A. de Korvin, E. Deeba, and S. Xie, "Pexider Functional Equations - Their Fuzzy Analogs," Inter. J. of Math. and Math. Science, Vol. 19, No. 3, (1996), pp. 487-502.
  • A. de Korvin and M. Shipley, "Rough Set Theory Fuzzy Belief Functions Related to Statistical Confidence: Application and Evaluation for Golf Course Closing," Stochastic Analysis and Applications, 13 (4) (1996) pp.487-502.
  • A. de Korvin and R. Kleyle, "Policy Selection Based On A Markov Model With Fuzzy Transition Probabilities," J. of Intelligent Fuzzy Systems. Vol. 4, (1996) pp.121-130.
  • C. Hu, S. Hoogendoorn, P. Sepulveda Jr., and A. Cardenas, "An Interval Polynomial Interpolation Problem and its Lagrange Solution," International Journal of Reliable Computing, 1997.
  • Z. Hu and C. Hu, "Parallel Algorithms for Large-Scale Sparse Network Optimization Problems," Proceedings of High Performance Computing Symposium ’97, pp. 213-218, Society of Computer Simulation International, 1997.
  • O. Sirisaengtaksin, T. Hung, Nguyen, and V. Keinovich, "Fuzzy Control as a Universal Control Tool," Fuzzy Sets and Systems, 80 (1996), pp. 71-86.
  • O. Sirisaengtaksin, A. Berrached, A. de Korvin, M. Beheshti, C. Hu, "Neural Networks with Interval Weights," Proceedings of Second International Conference on Differential Equations and Dynamical Systems, August 1-4, 1997, Waterloo, Canada.  
  • O. Duangploy, S. Hasbemi, A. de Korvin, G. Quirchmayr, "Selecting Optimal Hedging Tools" The 3rd World Congress on Expert Systems Conference (1996) 139-146.
  • A de Korvin, K. Omer, M. Shipley, "A Fuzzy Controller for Adjusting Sample size to Meet Quality Goals" Productivity and Quality Management Frontiers 6 Engineering and Management Press Institute, (1997) 501-513.
  • L. Chaouat, A de Korvin, S. Hasbemi, "The Use of the Theory of Evidence to Time Fuzzy Rules "Advances In Industrial Engineering Applications and Practice, San Diego (Nov.1997) vol. 57-62.
  • J. Boronico, A. de Korvin, R. Kleyle, "An Extension of Ramsey-Borteauz Pricing to Services Offering Limited Deferability Subject to Reliability Constraints and Fuzzy Demand Functions", The S. of Managerial Finance, Vol. 23 (1997) 1-15.
  • A de Korvin, K. Karim, R. Kleyle, "Investing in new Companies in an Limitable Economic Environment", The Joy of Managerial Finance, Vol. 23 (1997) 68-80.
  • A de Korvin, K. Omer, M. Shipley, Bifpet versus Pert, Fuzzy Probabilities instead of the Beta Distribution", Accepted in the Joy of Engineering and Technology Management.