Multi-criteria diagnosis of control knowledge for cartographic generalisation
The development of interactive map websites increases the need of efficient automatic cartographic generalisation. The generalisation process, which aims at decreasing the level of details of geographic data in order to produce a map at a given scale, is extremely complex. A classical method for automating the generalisation process consists in using a heuristic tree-search strategy. This type of strategy requires having high quality control knowledge (heuristics) to guide the search for the optimal solution. Unfortunately, this control knowledge is rarely perfect and its evaluation is often difficult. Yet, this evaluation can be very useful to manage knowledge and to determine when to revise it. The objective of our work is to offer an automatic method for evaluating the quality of control knowledge for cartographic generalisation based on a heuristic tree-search strategy. Our diagnosis method consists in analysing the system’s execution logs, and in using a multi-criteria analysis method for evaluating the knowledge global quality. We present an industrial application as a case study using this method for building block generalisation and this experiment shows promising results.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Dias, Luis C. & Mousseau, Vincent, 2006. "Inferring Electre's veto-related parameters from outranking examples," European Journal of Operational Research, Elsevier, vol. 170(1), pages 172-191, April.
- K. Raju & Lucien Duckstein & Cecile Arondel, 2000. "Multicriterion Analysis for Sustainable Water Resources Planning: A Case Study in Spain," Water Resources Management, Springer, vol. 14(6), pages 435-456, December.
- Lourenco, Rui Pedro & Costa, Joao Paulo, 2004. "Using ELECTRE TRI outranking method to sort MOMILP nondominated solutions," European Journal of Operational Research, Elsevier, vol. 153(2), pages 271-289, March.
- Almeida-Dias, J. & Figueira, J.R. & Roy, B., 2010. "Electre Tri-C: A multiple criteria sorting method based on characteristic reference actions," European Journal of Operational Research, Elsevier, vol. 204(3), pages 565-580, August.
- Rogers, Martin & Bruen, Michael, 1998. "Choosing realistic values of indifference, preference and veto thresholds for use with environmental criteria within ELECTRE," European Journal of Operational Research, Elsevier, vol. 107(3), pages 542-551, June.
- Georgopoulou, E. & Sarafidis, Y. & Mirasgedis, S. & Zaimi, S. & Lalas, D. P., 2003. "A multiple criteria decision-aid approach in defining national priorities for greenhouse gases emissions reduction in the energy sector," European Journal of Operational Research, Elsevier, vol. 146(1), pages 199-215, April.
- Dias, Luis & Mousseau, Vincent & Figueira, Jose & Climaco, Joao, 2002. "An aggregation/disaggregation approach to obtain robust conclusions with ELECTRE TRI," European Journal of Operational Research, Elsevier, vol. 138(2), pages 332-348, April.
- Roy, Bernard, 2010. "Robustness in operational research and decision aiding: A multi-faceted issue," European Journal of Operational Research, Elsevier, vol. 200(3), pages 629-638, February.
- Mousseau, Vincent & Dias, Luis, 2004. "Valued outranking relations in ELECTRE providing manageable disaggregation procedures," European Journal of Operational Research, Elsevier, vol. 156(2), pages 467-482, July.
When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:217:y:2012:i:3:p:633-642. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.