TY - JOUR UR - http://lib.ugent.be/catalog/pug01:519545 ID - pug01:519545 LA - eng TI - New operations for informative combination of two partial order relations with illustrations on pollution data PY - 2008 JO - (2008) COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING SN - 1386-2073 PB - 2008 AU - Rademaker, Michaël UGent 001999446347 801001863063 AU - De Baets, Bernard LA26 801000738267 0000-0002-3876-620X AU - De Meyer, Hans AB - We discuss various ways in which to construct and process partial order relations or partially ordered sets (posets) in the context of ranking objects on the basis of multiple criteria. Oftentimes, it is undesirable or even impossible to devise a weighting scheme to compute a final score on the basis of the criteria. An alternative is then to restrict oneself to the information contained in the partial ordering of all objects implied by the criteria. We will consider some ways in which one can exploit partial order relations to determine a ranking of a collection of objects. More exactly, we will examine how to combine information coming from two sources, both for the case in which the sources are considered to be equally important, as well as for the case in which one source of information should take priority. We illustrate the concepts on pollution data coming from 59 regions in Baden-Wurttemberg. ER -Download RIS file
00000nam^a2200301^i^4500 | |||
001 | 519545 | ||
005 | 20180813143413.0 | ||
008 | 090316s2008------------------------eng-- | ||
022 | a 1386-2073 | ||
024 | a 000261495100006 2 wos | ||
024 | a 1854/LU-519545 2 handle | ||
040 | a UGent | ||
245 | a New operations for informative combination of two partial order relations with illustrations on pollution data | ||
260 | c 2008 | ||
520 | a We discuss various ways in which to construct and process partial order relations or partially ordered sets (posets) in the context of ranking objects on the basis of multiple criteria. Oftentimes, it is undesirable or even impossible to devise a weighting scheme to compute a final score on the basis of the criteria. An alternative is then to restrict oneself to the information contained in the partial ordering of all objects implied by the criteria. We will consider some ways in which one can exploit partial order relations to determine a ranking of a collection of objects. More exactly, we will examine how to combine information coming from two sources, both for the case in which the sources are considered to be equally important, as well as for the case in which one source of information should take priority. We illustrate the concepts on pollution data coming from 59 regions in Baden-Wurttemberg. | ||
598 | a A1 | ||
700 | a Rademaker, Michaël u UGent 0 001999446347 0 801001863063 0 971805701678 9 F721863A-F0ED-11E1-A9DE-61C894A0A6B4 | ||
700 | a De Baets, Bernard u LA26 0 801000738267 0 0000-0002-3876-620X 9 F4728EE8-F0ED-11E1-A9DE-61C894A0A6B4 | ||
700 | a De Meyer, Hans u WE02 0 801000484451 9 F40A7272-F0ED-11E1-A9DE-61C894A0A6B4 | ||
650 | a Mathematics and Statistics | ||
653 | a Hasse diagrams | ||
653 | a linear extensions | ||
653 | a partially ordered set | ||
653 | a Information systems in chemistry | ||
653 | a environmental informatics | ||
653 | a transitive combination of partial order relations | ||
653 | a decision support | ||
653 | a RANDOM LINEAR EXTENSIONS | ||
653 | a T-TRANSITIVE CLOSURES | ||
653 | a RANKING PROBABILITIES | ||
653 | a RANDOM GENERATION | ||
653 | a CHEMICALS | ||
653 | a DIAGRAMS | ||
653 | a POSET | ||
653 | a TESTS | ||
653 | a SETS | ||
773 | t COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING g Comb. Chem. High Throughput Screen. 2008. 11 (9) p.745-755 q 11:9<745 | ||
856 | 3 Full Text u https://biblio.ugent.be/publication/519545/file/1856135 z [ugent] y Rademaker_CCHTS.pdf | ||
920 | a article | ||
Z30 | x BW 1 LA10 | ||
922 | a UGENT-BW | ||
Z30 | x WE 1 WE02 | ||
922 | a UGENT-WE |
All data below are available with an Open Data Commons Open Database License. You are free to copy, distribute and use the database; to produce works from the database; to modify, transform and build upon the database. As long as you attribute the data sets to the source, publish your adapted database with ODbL license, and keep the dataset open (don't use technical measures such as DRM to restrict access to the database).
The datasets are also available as weekly exports.