个人信息Personal Information
副教授
硕士生导师
性别:女
毕业院校:中国科学院东北地理与农业生态研究所
学位:博士
所在单位:环境学院
学科:环境科学. 环境工程
办公地点:环境楼203
联系方式:0411-84706069-603
电子邮箱:xuling@dlut.edu.cn
A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives
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论文类型:期刊论文
发表时间:2017-07-01
发表刊物:WATER RESOURCES MANAGEMENT
收录刊物:SCIE、EI、Scopus
卷号:31
期号:9
页面范围:2579-2593
ISSN号:0920-4741
关键字:MCDA; Alternative water supply; Fuzzy TOPSIS; Nigeria; Sustainability
摘要:Recently water supply alternative sources, recognized as sustainable and ecofriendly have become popular. This is consequent on the scarcity and increasing demand for water, especially by developing nations characterized by industrialization and increasing population growth. However, the intricacies and overwhelming nature of factors to be considered in reaching a decision on a best alternative has further prompted the emergence of several decision support tools, some of which arouse discrepancies with setbacks. We employ here, the uniqueness of fuzzy TOPSIS (technique for order preference by similarity to ideal solution), a multi-criteria decision approach (MCDA), to aid in deciding the most preferred alternative water supply among, desalination, water borehole, rain water harvesting, reclaimed water, black water, grey water and water importation. This method is reckoned for its ease in handling both quantitative and qualitative data. Moreover it also overcomes the uncertainties in expert opinions usually encountered in the decision process due to the numerous variables, criteria and attributes that interplay in achieving sustainability. Results from analysis on data aggregation, normalization and performance ratings, coupled with the weighted distance from the positive and negative ideal solutions indicated that borehole ranked topmost followed by rain water harvesting (RWH). These revelations are apt to all stakeholders in the water delivery sector and in deliberations on the paradigm shift to water conservation and management measure.