eprintid: 4880 rev_number: 39 eprint_status: archive userid: 351 dir: disk0/00/00/48/80 datestamp: 2016-01-15 02:07:32 lastmod: 2021-08-27 17:15:36 status_changed: 2016-01-15 02:07:32 type: monograph metadata_visibility: show item_issues_count: 2 creators_name: Danielson, M. creators_name: Ekenberg, L. creators_id: 7576 creators_orcid: 0000-0002-0665-1889 title: Evaluating Decision Trees under Different Criteria ispublished: pub internal_subjects: iis_met internal_subjects: iis_mod internal_subjects: iis_sys divisions: prog_rmp abstract: Based on our earlier results in decision theory, we demonstrate how decision trees can be integrated into a general framework for analysing decision situations with respect to different criteria, and suggest an evaluation rule taking into account all strategies, criteria, probabilities and utilities involved in the situations under consideration. A significant property of the framework is that it admits the representation of imprecise information at all stages. This information is modelled in sets of measures constrained by interval estimates. The strategies are then evaluated relative to different decision rules, e.g., a set of generalisations of the principle of admissibility. Decision situations are evaluated using fast algorithms developed particularly for solving these kinds of problems. The presented framework has been developed and used within a large-scale evaluation project at the Swedish National Rail Administration. date: 1996-12 date_type: published publisher: WP-96-148 iiasapubid: WP-96-148 price: 10 creators_browse_id: 79 full_text_status: public monograph_type: working_paper place_of_pub: IIASA, Laxenburg, Austria pages: 14 coversheets_dirty: FALSE fp7_type: info:eu-repo/semantics/book citation: Danielson, M. & Ekenberg, L. ORCID: https://orcid.org/0000-0002-0665-1889 (1996). Evaluating Decision Trees under Different Criteria. IIASA Working Paper. IIASA, Laxenburg, Austria: WP-96-148 document_url: https://pure.iiasa.ac.at/id/eprint/4880/1/WP-96-148.pdf