Risk Assessment of Floor Water Inrush Using Entropy Weight and Variation Coefficient Model

Li, Q.; Meng, Xiangxi; Liu, Y. B.; Pang, Lifu

doi:10.1007/s10706-018-0702-9

Cited by 33 publications

(31 citation statements)

References 12 publications

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“…The integrated weights of sub-criteria obtained using the MIW method and the main criteria decision matrix were applied to the SAW method for generating the ranking index of main criteria concerning the alternatives using the formula given in Equation (11). The resultant final main criteria matrix was used for identifying the best groundnut site for agriculture development.…”

Section: Results Of Ranking Index Generation Using the Saw Methodsmentioning

confidence: 99%

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Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

et al. 2019

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One of the crucial elements in decision-making is the calculation of criteria weights. In this paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the weights obtained using different weight calculation methods into a single set of weights. The weights express the relative significance of the criteria and play an essential role in making correct decisions. The proposed method considered both subjective knowledge of the experts and the objectivity of the problem by combining the subjective and objective weight assignment methods. The proposed weight calculation method was applied to the agriculture dataset for the evaluation of groundnut crop sites. A decision-making model was developed via the proposed MIW method and Complex Proportional Assessment (COPRAS) method to rank the given groundnut crop site dataset. The ranking results of the developed decision model were compared with the ranking results of average yield data and other methods for validation purposes. The developed model exhibited better results for the given dataset and could be used to solve various other decision-making problems, thereby realizing sustainable development.

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Section: Results Of Ranking Index Generation Using the Saw Methodsmentioning

confidence: 99%

“…The disadvantage of subjective weight assignment methods is that sometimes, the flexibility of these methods may lead to subjective randomness and give inaccurate results [6]. Several research works have been carried out so far by using these objective and subjective weight assignment methods [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

et al. 2019

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“…When using some methods and techniques, it is usually necessary to determine the weights of attributes, which affect the reliability of the assessment and decision result. Many methods have been used in determining the attribute weights for natural hazards, such as analytic hierarchy process (AHP) [ 1 , 2 ], the preference ratio method [ 11 ], the entropy-weighting method (EWM) [ 4 , 5 ] and the variation coefficient method (VCM) [ 3 , 12 ], etc. The subjective weighting method represented by AHP determines the attribute weights based on experts’ knowledge, but is affected by subjective preference.…”

Section: Introductionmentioning

confidence: 99%

“…The EWM and VCM are two typical diversity-based weighting methods which calculate attribute weights based on the diversity or dipartite degree of attribute data among the evaluation objects or alternatives [ 3 , 4 , 5 , 12 ], effectively avoiding the deviation of human factors [ 13 ]. The EWM calculates weights based on the information entropy (IE) of attributes, while the VCM calculates weights based on the coefficient of variation (CV) of attributes.…”

Section: Introductionmentioning

confidence: 99%

“…It has been widely used in the risk assessment of various natural hazards, such as floods [ 4 , 5 ], debris flows [ 14 , 15 , 16 ], drought [ 17 , 18 ] and landslides [ 19 , 20 ], etc. The VCM has been used in the risk assessment of floor water inrush [ 3 , 12 ]. As objective weighting methods, subjective preference is not involved in the EWM or the VCM.…”

Section: Introductionmentioning

confidence: 99%

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On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Chen

2019

Entropy

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The entropy-weighting method (EWM) and variation coefficient method (VCM) are two typical diversity-based weighting methods, which are widely used in risk assessment and decision-making for natural hazards. However, for the attributes with a specific range of values (RV), the weights calculated by EWM and VCM (abbreviated as WE and WV) may be irrational. To solve this problem, a new indicator representing the dipartite degree is proposed, which is called the coefficient of dipartite degree (CDD), and the corresponding weighting method is called the dipartite coefficient method (DCM). Firstly, based on a large amount of statistical data, a comparison between the EWM and VCM is carried out. It is found that there is a strong correlation between the weights calculated by the EWM and VCM (abbreviated as WE and WV); however, in some cases the difference between WE and WV is big. Especially when the diversity of attributes is high, WE may be much larger than WV. Then, a comparison of the DCM, EWM and VCM is carried out based on two case studies. The results indicate that DCM is preferred for determining the weights of the attributes with a specific RV, and if the values of attributes are large enough, the EWM and VCM are both available. The EWM is more suitable for distinguishing the alternatives, but prudence is required when the diversity of an attribute is high. Finally, the applications of the diversity-based weighting method in natural hazards are discussed.

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Lightweight optimization of passenger car seat frame based on grey relational analysis and optimized coefficient of variation

Shan

Long

Ping

et al. 2020

Struct Multidisc Optim

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Risk Assessment of Floor Water Inrush Using Entropy Weight and Variation Coefficient Model

Cited by 33 publications

References 12 publications

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset

On the Diversity-Based Weighting Method for Risk Assessment and Decision-Making about Natural Hazards

Lightweight optimization of passenger car seat frame based on grey relational analysis and optimized coefficient of variation

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