2016
DOI: 10.1016/j.envsoft.2015.12.011
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Environmental conflict analysis using an integrated grey clustering and entropy-weight method: A case study of a mining project in Peru

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Cited by 346 publications
(177 citation statements)
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“…The EW method can be developed as follows [26]- [28]: first, assume that there are m objects for evaluation and n evaluation criteria, which form the decision matrix ; 1, 2, … , ; 1, 2, … , . Then, the steps of the EW method can be expressed as follows:…”
Section: B the Ew Methodfor Ecamentioning
confidence: 99%
See 1 more Smart Citation
“…The EW method can be developed as follows [26]- [28]: first, assume that there are m objects for evaluation and n evaluation criteria, which form the decision matrix ; 1, 2, … , ; 1, 2, … , . Then, the steps of the EW method can be expressed as follows:…”
Section: B the Ew Methodfor Ecamentioning
confidence: 99%
“…The GC method based on CTWF can be described as follows [5], [7], [26]: first, assume that there are a set of m objects, a set of n criteria, and a set of s grey classes; according to the sample value x ij (i=1, 2 ,…, m; j=1, 2, …, n). Then, the steps of the GC method based on CTWF can be developed as follows:…”
Section: A the Gc Methods For Siamentioning
confidence: 99%
“…Therefore in this stage the proper preparation and gaining professional environmental knowledge is worth every effort and considering the environmental costs to convince the decision makers to agree to mining production. Furthermore, at this stage the cost of expert negotiations should be calculated and paid (Delgado & Romero, 2016). It is quite an important issue, because in Many studies confirm the above claim and is proof that balancing environmental, social and economic priorities is beneficial for all stakeholders of mining enterprises.…”
Section: International Case Studies Of Environmental Costs In Mining mentioning
confidence: 99%
“…The concept of entropy is well suited to measuring the relative intensities of contrast criteria in order to represent the average intrinsic information transmitted for decision-making [32]; then the method is applied to describe the thermodynamics information systems [33]. The EWM has already been applied to many research fields such as clinical neurophysiology [34], transport systems [35], environmental time series data, and conflict analysis [36,37]. The uncertainty of signals in communication processes is called information entropy; the lower the information entropy, the higher the weight.…”
Section: The Translation-corrected Improved Entropy Weightmentioning
confidence: 99%