Invited paperFuzzy preferences in multiple participant decision making
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Keith William Hipel is University Professor of Systems Design Engineering and Coordinator of the Conflict Analysis Group at the University of Waterloo. He is Senior Fellow at the Centre for International Governance Innovation and former Vice President of the Canadian Academy of Science. His major research interests are the Development of Conflict Resolution, Multiple Objective Decision Making and Time Series Analysis Techniques from a Systems Engineering Perspective with Applications in Water Resources Management, Hydrology, Environmental Engineering and Sustainable Development. He has received thirty awards for his academic and professional engineering achievements, such as the IEEE SMC Norbert Wiener Award.
Donald Marc Kilgour is Professor of Mathematics at Wilfrid Laurier University, Research Director: Conflict Analysis of the Laurier Centre for Military Strategic and Disarmament Studies, and Adjunct Professor of Systems Design Engineering at the University of Waterloo. His research lies at the intersection of Mathematics, Engineering and Social Science, and he has addressed problems in International Security, Arms Control, Environmental Management, Negotiation, Arbitration, Voting, Fair Division, and Coalition Formation. He pioneered the development of decision support systems for strategic conflict and co-edited the Handbook of Group Decisions and Negotiation. His research and lifetime contributions have earned many international awards and distinctions.
Mohammad Abul Bashar is a Ph.D. student in the Department of Systems Design Engineering at the University of Waterloo, Canada. He received a B.S. Degree in Mathematics and an M.S. Degree in Pure Mathematics from the University of Dhaka, Bangladesh. He also completed an M.S. Degree in Mathematics for Science and Finance from Wilfrid Laurier University, Canada. From 1999 to 2006, he was an instructor with the Department of Mathematics at the University of Dhaka, Bangladesh. His research interests include Fuzzy Preferences, Conflict Resolution and Multiple Criteria Decision Analysis with Applications to Real World Decision Problems.