A Comparison of Expert Systems and Weighted Overlay Analysis for Military Planning

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dc.contributor.advisorSuryabhagavan, K.V. (PhD)
dc.contributor.authorGebremedhin, Gebreslasie
dc.date.accessioned2018-07-04T08:33:33Z
dc.date.accessioned2023-11-09T14:09:09Z
dc.date.available2018-07-04T08:33:33Z
dc.date.available2023-11-09T14:09:09Z
dc.date.issued2009-06
dc.description.abstractThe successes of military operations depend on how decision makers and planners have evaluated the battle field prior to the deployment of armed forces on the ground. The study of off-road trafficability of the terrain is one of the key military operations that should be provided for military commanders at all levels in a real time scenario. This can rarely be provided using paper maps. This thesis comparatively evaluates the state-of-the-art of spatial modeling techniques for off-road trafficability analysis of wheeled military vehicles using GIS and remote sensing techniques. The Expert systems and Weighted Overlay Analysis were comparatively studied for modeling off-road trafficability. Similar data layers of Lu/Lc, Soil, Slope, Rivers and Manmade obstacles were used to generate the off-road trafficability maps from the two methods. The goal of comparison of these decision making tools was to test whether data in an ordinal scale from the Weighted Overlay Analysis produce comparable result with the Expert system that use hierarchy of decision tree. The results showed that there was a strong spatial correspondence between the outputs from the two methods with a spatial correlation of 0.78. Besides, a zonal cross tabulation between results showed that the two methods strongly accord to each other in the SLOW-GO and NO-GO trafficability classes with 86% and 75% summarized in the same zone respectively. However, results of comparison also showed that there was a significant disagreement between the two methods in the GO and VERY SLOW-GO classes with only 53% and 31% summarized in the same zone respectively. The disagreement between the two methods was mainly due to reclassification of data, and the factor weights (wj) used in the WOA method which can’t be employed in the Expert system and the detail knowledge of experts used in the Expert system to yield expert level performance that can’t be entertained in the WOA. KEY WORDS GIS and Remote Sensing, Expert systems, Knowledge base, Decision tree, Weighted Overlay analysis, Off-road trafficability, Military operations, Decision making tools, Comparison.en_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/6302
dc.language.isoenen_US
dc.publisherAddis Ababa Universtyen_US
dc.subjectGIS and Remote Sensingen_US
dc.subjectExpert systemsen_US
dc.subjectKnowledge baseen_US
dc.subjectDecision treeen_US
dc.subjectWeighted Overlay analysisen_US
dc.subjectOff-road trafficabilityen_US
dc.subjectMilitary operationsen_US
dc.subjectDecision making toolsen_US
dc.subjectComparisonen_US
dc.titleA Comparison of Expert Systems and Weighted Overlay Analysis for Military Planningen_US
dc.typeThesisen_US

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