2001
DOI: 10.1007/978-3-642-56680-6_16
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Using Intervals for Global Sensitivity Analyses in Multiattribute Value Trees

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Cited by 8 publications
(8 citation statements)
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“…In view of our theoretical and computational results, we believe that the RICH method is especially suitable for decision contexts where only rather few and easily elicited preference statements can be obtained before preliminary decision recommendations must be produced. Also, inspired by positive experiences from the deployment of internet-based decision aiding tools (e.g., Web-HIPRE; see Mustajoki and H€ am€ al€ ainen, 2000;Lindstedt et al, 2001), we have already proceeded with the development of a userfriendly decision support tool for the RICH method. This tool--entitled RICH Decisions--is available free of charge to academic users (see http://www.decisionarium.hut.fi; Liesi€ o, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…In view of our theoretical and computational results, we believe that the RICH method is especially suitable for decision contexts where only rather few and easily elicited preference statements can be obtained before preliminary decision recommendations must be produced. Also, inspired by positive experiences from the deployment of internet-based decision aiding tools (e.g., Web-HIPRE; see Mustajoki and H€ am€ al€ ainen, 2000;Lindstedt et al, 2001), we have already proceeded with the development of a userfriendly decision support tool for the RICH method. This tool--entitled RICH Decisions--is available free of charge to academic users (see http://www.decisionarium.hut.fi; Liesi€ o, 2002).…”
Section: Introductionmentioning
confidence: 99%
“…The moving average (19) produces an index whose magnitude is higher than those given by (17) or (18) at intervals.…”
Section: A Importance Indexmentioning
confidence: 96%
“…Determine the importance index Jj t for all  j∈Il t by aggregating the importances with (17) or (18).…”
Section: B Solution Of the Signaling Problemmentioning
confidence: 99%
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“…a ainen, 2003). The intervals can represent either the uncertainty (Lindstedt et al, 2000) or the range of preferences in a group of decision makers. This is a new way of embedding individual models into a group model ( al., 2003a).…”
Section: Winpre and Prime Decisionsmentioning
confidence: 99%