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Survey forest fire detection systems via multicriteria disaggregation-aggregation approach: the case of Lycabettus Hill

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  • Athanasios Spyridakos
  • Yannis Psaromiligkos
  • Lazaros Vryzidis
  • Maria Litsardaki
  • Ioannis Salmon

Abstract

Location of fire detection units in forests is influenced by a set of conflicting parameters representing effectiveness (degree of screening, degree of overlapping), cost of installation and maintenance, reliability and security. This research work proposes a multicriteria methodological frame based on disaggregation-aggregation UTA II method and MIIDAS system in order to support the selection of positions and the arrangement of the fire detection units in the forest. The methodological frame was utilised for a real world application concerning the design of Lycabettus Hill fire detection system.

Suggested Citation

  • Athanasios Spyridakos & Yannis Psaromiligkos & Lazaros Vryzidis & Maria Litsardaki & Ioannis Salmon, 2012. "Survey forest fire detection systems via multicriteria disaggregation-aggregation approach: the case of Lycabettus Hill," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 2(1), pages 29-46.
    • Handle: RePEc:ids:ijmcdm:v:2:y:2012:i:1:p:29-46
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    Cited by:

    1. A. Spyridakos & N. Tsotsolas & Y. Siskos & D. Yannakopoulos & I. Vryzidis, 2020. "A visualization approach for robustness analysis in multicriteria disaggregation–aggregation approaches," Operational Research, Springer, vol. 20(3), pages 1841-1861, September.

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