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metric spaces for storing and providing decision information

From: Wolfgang Orthuber <orthuber@kfo-zmk.uni-kiel.de>
Date: Mon, 24 Nov 2014 14:55:45 +0100
Message-ID: <547338E1.7080601@kfo-zmk.uni-kiel.de>
To: public-decisionml@w3.org
Hi all,

when looking for other related groups for exchange of ideas I found your Decisions and Decision-Making group.
Natural means for storing decision data are metric spaces. You can divide the dimensions of a metric space in three groups:

1. The dimensions which describe the past situation (in medicine: findings)
2. The dimensions which describe the decision (in medicine: chosen therapy)
3. The dimensions which describe the future situation (in medicine: outcome)

All elements of a metric space have a well defined distance for similarity search. By min-max conditions it is possible to select a (subgroup with a) certain past situation, modify the decision and look statistically for the future situation in dependence of the decision. An example for this is at the end of http://numericsearch.com/DS-Page-med.pdf , more details explain chapter 8.10 and 8.11 of http://numericsearch.com/wwdomainspaces.pdf . If you are interested we can discuss details and you are invited to join
Comments and questions are welcome.

Thank you,

Wolfgang Orthuber
Received on Monday, 24 November 2014 13:56:02 UTC

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