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dc.contributor.authorChen, Yi-Chunen_US
dc.contributor.authorLien, Hui-Pangen_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2014-12-08T15:07:19Z-
dc.date.available2014-12-08T15:07:19Z-
dc.date.issued2010-03-01en_US
dc.identifier.issn0957-4174en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.eswa.2009.04.068en_US
dc.identifier.urihttp://hdl.handle.net/11536/5770-
dc.description.abstractAlthough environment watershed plans have management and erosion control plans, public perception often focuses excessively on catastrophes. Environment plans are affected by many factors such as human life. property, safety, management, operations. maintenance, ecology, the environment, artificial Structures, and climate control. The purpose of this paper is to qualitatively and quantitatively measure the environment watershed plan indexes and to achieve the aspired levels for these plan indexes. Previous efforts to evaluate the environment plans have assumed that the criteria are independent, but reality proves otherwise Here, we use a novel hybrid multiple criteria decision-making (MCDM) model to address the dependent relationships among the criteria. Specifically, we combined the decision-making trial and evaluation laboratory model (DEMATEL) with the analytical network process (ANP) to calculate the relative weights of the criteria under interdependence and feedback. A real-life environment watershed problem is investigated to demonstrate the proposed novel hybrid MCDM model. We also propose a strategy to improve the criteria gaps for achieving the aspired levels for human life and safety. (C) 2009 Published by Elsevier Ltd.en_US
dc.language.isoen_USen_US
dc.subjectAttitudes toward environment watershed plansen_US
dc.subjectEnvironment watershed plan effectsen_US
dc.subjectAnalytical network process (ANP)en_US
dc.subjectMultiple criteria decision-making (MCDM)en_US
dc.subjectDEMATELen_US
dc.subjectNetwork relation map (NRM)en_US
dc.titleMeasures and evaluation for environment watershed plans using a novel hybrid MCDM modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.eswa.2009.04.068en_US
dc.identifier.journalEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.citation.volume37en_US
dc.citation.issue2en_US
dc.citation.spage926en_US
dc.citation.epage938en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000272432300004-
dc.citation.woscount27-
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