Back to Search
Start Over
Multiple-Criteria Sorting Using Case-Based Distance Models With an Application in Water Resources Management.
- Source :
-
IEEE Transactions on Systems, Man & Cybernetics: Part A . Sep2007, Vol. 37 Issue 5, p680-691. 12p. 3 Black and White Photographs, 2 Charts, 2 Graphs. - Publication Year :
- 2007
-
Abstract
- A case-based distance model to solve sorting problems in multiple-criteria decision analysis (MCDA) is developed, and its application in water resources management is presented. The sorting problem in MCDA is to arrange a set of alternatives into ordered groups. MCDA is introduced as consequence-based preference aggregation, whereby consequence and preference expressions (values and weights) are defined and combined in a sequence of steps. Then, sorting problems are defined, and some properties are explained. Based on weighted Euclidean distance, two case-based distance models are developed for sorting using weights and group thresholds obtained by assessment of a case set provided by a decision maker (DM). This case-based method can elicit the DM's preferences more expeditiously and accurately than direct inquiry. Case-based sorting model I is designed for cardinal criteria, while its extension, i.e., case-based sorting model II, can handle both cardinal and ordinal criteria. Optimization programs are employed to find the most descriptive weights and group thresholds. A case study in which Canadian municipalities are sorted according to water usage is presented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10834427
- Volume :
- 37
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics: Part A
- Publication Type :
- Academic Journal
- Accession number :
- 26405168
- Full Text :
- https://doi.org/10.1109/TSMCA.2007.902629