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《Journal of Safety and Environment》 2009-05
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Fuzzy model for evaluating regional eco-environmental security

WANG Geng~(1,2),GAO Hong-juan~2,GAO Xiang-ling~2 ,DING Xiao-jing~2(1 Center for Studies of Maine Economy and Sustainable Developmentof Liaoning Normal University,Dalian 116029,liaoning,China;2 Urban and Environmental School of Liaoning Normal University,Dalian 116029,Liaoning,China)  
The given paper is aimed to introduce a fuzzy model for evaluating regional eco-environmental security proposed by its authors. Seeing the complicated nature of the assessment criteria and the weights caused by the multi-objective decision-making of regional ecological security, the paper has proposed a fuzzy pattern recognition model as a result of its comprehensive study of the problems involved. While paying attention to the subjective and objective factors in decision -making and taking into consideration the indicator weight not wholly dependent on the project sets, we have introduced such conceptions as fuzzy duality contrast weight, the amendment for subjective weight to impersonal weight, the objective weight and the relative membership degree of alternatives in this paper. Since the present model has taken into account among other things the objective intentions of the decision-maker and the natural property of the alternative, it is possible to make the ranking of the alternative more feasible and reasonable than those in the former methods. While trying to test the efficacy of the model, the paper has taken 14 coastal cities of Liaoning as our case study so as to establish an index system on the basis of the pressure-state-response (PSR) framework. Furthermore, a fuzzy circular iteration model has been used to calculate the indicators' iterative fuzzy weight and relative membership degree by means of the field survey data of 2007. The results of the initial application of the model show that in keeping the ecological safety, the urban area of Dalian and its surrounding counties, Dawa County, Zhuanghe City and Xingcheng City stand higher whereas Huludao City and Suizhong County—lower. While Wafangdian City, Zhuanghe City, Pulandian City and Dalian City experience upper eco-environmental safety pressure, Changhai County and Yingkou County experience inferior ecological safety pressure, with Linghai City, Pulandian City and Suizhong County enjoying upper ecological safety response ability, with Wafandian City, Panshan County and Huludao City—inferior. However, on the whole, Dalian City in addition to Changhai County, enjoy higher relative membership degree of ecological safety, with Zhuanghe city in particular, keeping the highest level of ecological safety. Thus, it can be said that the assessment results are in conformity with the practical survey results, which helps to prove the applicability of the model.
【Fund】: 国家自然科学基金资助项目(40801209);; 教育部人文社科青年基金资助项目(08JC630035);; 辽宁省教育厅青年基金资助项目(2008354)
【CateGory Index】: X826
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