2020
DOI: 10.1007/s10668-020-00684-3
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Prioritizing policies and strategies for desertification risk management using MCDM–DPSIR approach in northeastern Iran

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Cited by 30 publications
(9 citation statements)
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“…They evaluated the risks related to WRM considering uncertainties based on a stochastic multi-criteria acceptability analysis (SMAA) model in gray environment. Akbari et al [32] proposed several strategies and policies for water resource management especially for desertification. They emphasized on drivers, pressures, states, impacts, and responses called DPSIR approach and then proposed 29 strategies whose priorities were determined through PROMETHEE method.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They evaluated the risks related to WRM considering uncertainties based on a stochastic multi-criteria acceptability analysis (SMAA) model in gray environment. Akbari et al [32] proposed several strategies and policies for water resource management especially for desertification. They emphasized on drivers, pressures, states, impacts, and responses called DPSIR approach and then proposed 29 strategies whose priorities were determined through PROMETHEE method.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In recent years, the DPSIR model has been widely accepted and used in the process of ecological security research because it can reveal causal relationships between ecology and human activities [33][34][35][36][37][38][39][40]. It provides a conceptual model for a research scheme for evaluation of human activities, resources, the ecology, and sustainable development [41,42] and is also applied to interdisciplinary research [36,43]. Through application of the DPSIR model framework, many studies have performed ecological security evaluation of lakes, rivers, land, and oceans, thereby providing a scientific basis for further expansion of the connotation and application of the DPSIR model framework [44,45].…”
Section: Introductionmentioning
confidence: 99%
“…Multicriteria decision taking (MCDM) is to choose the optimal alternative that best complies with multiple criteria from a finite set of alternatives. It is a major component of decision science, the principle of which has been widely applied in the fields of economics [1][2][3][4][5], management [6][7][8][9][10], and engineering [11][12][13][14][15]. Several methods have been proposed to deal with MCDM problems, such as TOPSIS (technique for order preference by similarity to an ideal solution) [16], ELECTRE (ELimination and Choice Expressing REality) [17], and PROMETHEE [18].…”
Section: Introductionmentioning
confidence: 99%