A cloud model-based approach for water quality assessment

Wang, Dong; Liu, Dengfeng; Ding, Hao; Singh, Vijay P.; Wang, Yuankun; Zeng, Xiankui; Wu, Jichun; Wang, Lachun

doi:10.1016/j.envres.2016.03.005

Cited by 104 publications

(46 citation statements)

References 32 publications

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“…In some studies [40,41], the parameter n had been fixed to 2.355, which mainly emphasize boundary value should have equal certainty degrees to its two adjacent levels. On the other hand, some other studies [36,38] clarify that the "3En criterion" of normal distribution requires 99.7% of cloud drops to be focused on [Ex − 3En, Ex + 3En]. This criterion requires n = 6 when En ij is applied to transform WRSU indicators quantitatively.…”

Section: Cloud Modelmentioning

confidence: 99%

“…Further, distributions of the certainty degrees for He = 0.1Enij are ideal, of which the dispersion degree is both well expressed and distributed. In addition, the value 0.1 has been adopted in existing studies [36,38], it is thus reasonable. Equation (4) can thus be transformed into: Equation (4) can thus be transformed into:…”

Section: Determination Of Comprehensive Assessment Scores Based On Nomentioning

confidence: 99%

“…In particular, when He = 0, the cloud model degrades into a normal membership function. Based on relevant references [36,38], assuming that k has a linear relationship with En ij : He = k = mEn ij , as He is the uncertainty degree of En. Then m will be estimated using a range of values, say from 0.05 to 0.2, based on practical situation of applications.…”

Section: Cloud Modelmentioning

confidence: 99%

“…The NCM is thus adopted in this study and can be defined as follows: let U be a discourse domain and let A be a qualitative concept in U. A contains three parameters to express certain digital characteristics of WRSU indicators [36][37][38][39], that is, expectation (Ex), entropy (En), and hyperentropy (He). If there exists a quantitative number x (x ∈ U) that is a random realization of A and satisfies expressions (1) and (2), the certainty degree of x to A is subject to Equation (3), then the distribution of x in A is a normal cloud.…”

Section: Cloud Modelmentioning

confidence: 99%

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Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

2017

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Water Resource Sustainable Utilization (WRSU) is becoming increasingly important, given growing water resource shortages and widening gaps between water supply and demand. Most existing studies have focused on WRSU levels without a dedicated strategy-oriented framework. In addition, uncertainties occur in the process of indicator quantification and grading, leading to a lack of accuracy in the assessment results. Therefore, in this study, stemming from water resource, societal, economic, and environmental dimensions, an indicator system with qualitative description was introduced by Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis to enable development and selection of sustainable water use strategies. A normal cloud model that is capable of addressing uncertainties was used to determine WRSU levels. The comprehensive evaluation results can both reflect the WRSU levels and select the most suitable strategy. The model's utility was demonstrated by applying it to the case of Shandong province in China. Based on the results, most areas of Shandong province appear to be facing serious unsustainable issues. Appropriate development strategies based on the WRSU levels were provided for improving sustainable use of water resources. The proposed method offers an efficient means for WRSU assessment and strategy development. Moreover, it has the potential to be applied to other water resource issues.

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Section: Cloud Modelmentioning

confidence: 99%

Section: Determination Of Comprehensive Assessment Scores Based On Nomentioning

confidence: 99%

Section: Cloud Modelmentioning

confidence: 99%

Section: Cloud Modelmentioning

confidence: 99%

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Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

2017

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“…With the rapid development of the cloud model theory, successful applications were carried out in various fields, such as intelligent control [34], network security [35], and algorithm improvement [36]. In particular, since Wang and Feng [37] introduced the conversion between linguistic variables and clouds, the cloud model has also been applied to the field of decision-making [9,[38][39][40].…”

Section: Literature Reviewmentioning

confidence: 99%

A Method for Multi-Criteria Group Decision Making with 2-Tuple Linguistic Information Based on Cloud Model

Zhang

Gao

et al. 2017

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This paper presents a new approach to solve the multi-criteria group decision making (MCGDM) problem where criteria values take the form of 2-tuple linguistic information. Firstly, a 2-tuple hybrid ordered weighted geometric (THOWG) operator is proposed, which synthetically considers the importance of both individual and the ordered position so as to overcome the defects of existing operators. Secondly, combining the advantages of the cloud model and 2-tuple linguistic variable, a new generating cloud method is proposed to transform 2-tuple linguistic variables into clouds. Thirdly, we further define some new cloud algorithms, such as cloud possibility degree and cloud support degree which can be respectively used to compare clouds and determine the criteria weights. Furthermore, a new approach for 2-tuple linguistic group decision making is presented on the basis of the THOWG operator, the improved generating cloud method as well as the new cloud algorithms. Finally, an example of assessing the social effects of biomass power plants (BPPS) is illustrated to verify the application and feasible of the developed approach, and a comparative analysis is also conducted to validate the effectiveness of the proposed method.

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Water quality improvement by good system design using modelling approaches: A review article"

Patel¹

2020

Preprint

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A cloud model-based approach for water quality assessment

Cited by 104 publications

References 32 publications

Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

Employing SWOT Analysis and Normal Cloud Model for Water Resource Sustainable Utilization Assessment and Strategy Development

A Method for Multi-Criteria Group Decision Making with 2-Tuple Linguistic Information Based on Cloud Model

Water quality improvement by good system design using modelling approaches: A review article"

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