作者: S.L. RazaviToosi , J.M.V. Samani
DOI: 10.1016/J.JHYDROL.2016.01.006
关键词: Process (engineering) 、 Sustainable development 、 Operations research 、 Fuzzy logic 、 Ranking 、 Decision model 、 Ideal solution 、 Data mining 、 Fuzzy number 、 Computer science 、 Spearman's rank correlation coefficient
摘要: Summary Watersheds are considered as hydrological units. Their other important aspects such economic, social and environmental functions play crucial roles in sustainable development. The objective of this work is to develop methodologies prioritize watersheds by considering different development strategies environmental, economic sectors. This ranking could a significant role management assign the most critical where employing water strategies, best condition changes expected be accomplished. Due complex relations among criteria, two new hybrid fuzzy ANP (Analytical Network Process) algorithms, TOPSIS (Technique for Order Preference Similarity Ideal Solution) max–min set methods used provide more flexible accurate decision model. Five Iran named Oroomeyeh, Atrak, Sefidrood, Namak Zayandehrood alternatives. Based on long term goals, 38 defined subcriteria 10 clusters. main advantage proposed its ability overcome uncertainty. task accomplished using numbers all steps algorithms. To validate method, final results were compared with those obtained from algorithm Spearman rank correlation coefficient applied find similarity methods. Finally, sensitivity analysis was conducted investigate influence cluster weights ranking.