作者: Julio Rojas-Mora , Didier Josselin , Jagannath Aryal , Adrien Mangiavillano , Philippe Ellerkamp
DOI: 10.4018/IJAEIS.2013100103
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摘要: In this paper, the authors present a methodology to solve weighted barycenter problem when data is inherently fuzzy. This method, from clustered by expert visual inspection of maps, calculates bi-dimensional fuzzy numbers spatial clusters, which in turn are used obtain particular area. The apply methodology, particularly apt set forest fire breakouts PACA region southeastern France, gathered 1986 2008, and sliced into five periods over for each one obtained. Two weighting schemes based on intensity density cluster were used. center provided with method provides leeway planners, can see how membership function solution be as measurement “appropriateness” final location.