A simulation approach for handling uncertainty in the analytic hierarchy process |
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| Institution: | 1. School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;2. Helsinki Institute for Information Technology, Department of Computer Science, Aalto University, Finland;3. School of Computer Science, University of Appl. Sc. Wuerzburg-Schweinfurt, Wuerzburg 97074, Germany;1. Research Ecologist US Department of Agriculture–Agricultural Research Service, Rangeland Resources Research Unit, Cheyenne, WY 82009, and Fort Collins, CO 80526, USA;2. Research Leader and Rangeland Scientist, US Department of Agriculture–Agricultural Research Service, Rangeland Resources Research Unit, Cheyenne, WY 82009, and Fort Collins, CO 80526, USA;3. Professor Emeritus, Department of Biology and Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523, USA |
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| Abstract: | Uncertainty considerations are introduced into the analytic hierarchy process (AHP). The rank order of decision alternatives depends on two types of related uncertainties: (1) uncertainty regarding the future characteristics of the decision making environment described by a set of scenarios, and (2) uncertainty associated with the decision making judgment regarding each pairwise comparison. A simulation approach for handling both types of related uncertainties in the AHP is described. The example introduced by Saaty and Kearns (1985) is extended here to include uncertainty considerations. |
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