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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作,涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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  • Item type:Item,
    A vector-based spatial model for landfill siting
    (1998-02-01)
    Lin, HY
    ;
    Kao, JJ
    ;
    環境工程研究所
    ;
    Institute of Environmental Engineering
    An inappropriate landfill site may have negative environmental, economic or ecological impacts. Therefore, landfill siting should carefully consider various factors and regulations and evaluate a significant amount of spatial data. However, processing of spatial information for various siting factors is tedious. Digitized data is thus frequently used for improving data processing and analysis efficiency. Vector-based data are composed of points, lines and polygons, which express gee-referenced attributes of the real world. Compared to raster-based data, although describing real world spatial information more precisely, the lack of uniformity makes vector-based data difficult to use with a mathematical optimization model. In this study, a mixed-integer spatial optimization model is developed based on vector-based data to assist decision makers in finding a suitable site from a siting area. Major factors considered in the model include impacts on the environment, economic efficiency, and site compactness. A sample case is provided to demonstrate the effectiveness of the model. (C) 1998 Elsevier Science B.V.
  • Item type:Item,
    Fuzzy GIS assisted landfill siting analysis
    (1996)
    Lin, HY
    ;
    Kao, JJ
    ;
    Li, KC
    ;
    Hwang, HY
    ;
    交大名義發表
    This paper presents a prototypical fuzzy geographical information system (GIS) developed to facilitate landfill siting analysis. Landfill siting requires extensive effort to process massive spatial information, to evaluate various factors, and to review numerous criteria and regulations. A computerized GIS, although capable of effectively manipulating spatial information, generally lacks the ability to evaluate the suitability levers of candidate sites based on factors/criteria with some degree of imprecision and/or uncertainty. Because of their imprecision/uncertainty, many siting factors/criteria are not appropriate to be evaluated with a binary assessment, e.g., yes/no. Fuzzy set algorithms are therefore applied to overcome this difficulty. With proper membership functions assigned to imprecise/uncertain factors/criteria, the suitability score of a candidate site can be determined by a series of fuzzy calculations. The algorithms are incorporated into a previously developed landfill siting GIS to assist an engineer in improving siting decisions. This article, in addition to the description of the prototype, presents a case study to demonstrate the effectiveness of the developed Fuzzy GIS.