Research On The Methods Of Spatial Multi-criteria Decision-Making And It's Application To Urban Disaster Prevention Based On GIS

Based on the theories such as GIS, decision-making technology and fuzzy mathematics, investigation and research are done on the spatial multi-criteria evaluation methods applicable to problems of urban disaster prevention decision, especially to evaluate land-use suitability affected by geological disaster factors. The difference in decision strategy between OWA and other GIS based MCE methods, such as Boolean overlay and weighted linear combination (WLC) which are often used in decision-making, is analyzed. The main advantage of the method proposed is the incorporation of spatially variable attitude to risk into the decision-making process, which Simulate decision situation in fact. How to calculate order weights and criteria weights are the key of problem, modified fuzzy-quantified methods to get order weights and analytical hierarchy program (AHP) to construct comparison matrix for criteria weights are introduced. Criteria maps of spatial information are base of decision analysis, and can be got by special model combining with GIS. The paper use artificial neural network methods to forecast Karst collapse hazard, then take Tangshan as an example to analyze its application in urban land-use suitability affected by multi-geological disaster factors, which are investigated after building land-use information system in Tangshan city, getting spatial data and constructing decision-making model on land-use suitability of disaster prevention. The paper discusses a D-S evidence approach to decision-making uncertainty roused by indirect evidence.