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The unknown in decision making: What to do about it
Institution:1. Osmangazi University, Industrial Engineering Department, 26030 Eskisehir, Turkey;2. University of Pittsburgh, Katz Graduate School of Business, 15260 Pittsburgh, USA;1. Department of Mechanical Engineering, Durban University of Technology, Durban, South Africa;2. School of Mechanical Engineering, University of KwaZulu-Natal, Durban, South Africa;1. Queensland University of Technology, 2 George St, Brisbane, QLD 4000, Australia;2. HHL Leipzig Graduate School of Management, Jahnallee 59, 04109 Leipzig, Germany;1. Department of Management, Faculty of Management, Universiti Teknologi Malaysia (UTM), Skudai, Johor 81300, Malaysia;2. Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania;1. University of Pittsburgh, USA;2. Eskisehir Osmangazi University, Turkey
Abstract:The unknown or “other” that affects our lives is what we usually very much want to know about to cope with uncertainty. We often suspect that it affects us with partial and indefinite evidence that it exists but we only have uncertain feelings about it. Even when we do not know what it is we would like to allow for its influence in our explaining the outcome of a decision. One way to deal with the many factors of a decision is to include the unknown as one of them and then determine its priority of influence on the outcome by comparing it with other factors. We are able to do that to the extent that we are sure of what we know and of the residual that remains outside our understanding that may also have some effect on what we do. Confidence from good understanding and past success are what we need in order to judge the potential significance of what we do not know on the outcome. We can then perform sensitivity analysis to see how much effect unknown factors can have on the stability of the choice we make. Pairwise comparisons make it possible to tackle this idea explicitly and rather simply. This note illustrates how to prioritize and test the effect of the unknown alongside the known.
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