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2007
DOI: 10.1007/s11051-007-9211-0
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Multi-criteria decision analysis and environmental risk assessment for nanomaterials

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Cited by 153 publications
(93 citation statements)
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“…Exposure control decisions are typically based on exposure frequency, amount used, and dustiness of material as well as the hazardous properties of the material. Benchmark particles could also provide risk estimates for calibration and validation of other nanomaterials' risk analysis frameworks such as those based on multi-criteria decision analysis (MCDA) methods (Linkov et al 2007Grieger et al 2012). …”
Section: Discussion and Next Stepsmentioning
confidence: 99%
See 1 more Smart Citation
“…Exposure control decisions are typically based on exposure frequency, amount used, and dustiness of material as well as the hazardous properties of the material. Benchmark particles could also provide risk estimates for calibration and validation of other nanomaterials' risk analysis frameworks such as those based on multi-criteria decision analysis (MCDA) methods (Linkov et al 2007Grieger et al 2012). …”
Section: Discussion and Next Stepsmentioning
confidence: 99%
“…These include: relative hazard and risk ranking frameworks for nanomaterials (Linkov et al 2007Tervonen et al 2009;Grieger et al 2012), nanomaterial-specific control banding schemes (Zalk et al 2009;ANSES 2010), and the United Nations' globally harmonized system of classification and labelling of chemicals which was recently adopted in the U.S. (77 FR 17574, March 26, 2012). However, absolute risk estimates or risk-based OELs for reference or benchmark materials within these categories are needed to link the hazard and relative risk information to the level of exposure control needed to protect workers (e.g., at a minimum, order of magnitude bands, Naumann et al 1996;Ader et al 2005).…”
Section: Categorical Approachesmentioning
confidence: 99%
“…By the end of the 1980-ies, number of researchers started development of special procedures and new contents for environmental impact assessment such as ecological framework and social impact assessment [15,16,17]. Meanwhile, numerous researches developed methodology of environmental impact assessment, for example, synthesis Weight [18] Artificial Aggregate Systems [19,20] MCDM and MCDA approaches [21][22][23][24][25][26][27] Risk Assessment [28,29,30] AHP, ANP and fuzzy logic [7,31,32,33,34,35].…”
Section: Use Of Mcdm Models In Environmental Impact Assessmentmentioning
confidence: 99%
“…[27] used Fuzzy Analytical Hierarchy Process to prioritize criteria in the assessment of various wind power plants and with using the weights of the selection criteria according to results of FAHP, they evaluated the wind-energy production alternatives located in Marmara region of Turkey [27]. [28] combined state-of-the-art research in MCDA methods applicable to nanotechnology with a hypothetical case study for nanomaterial management then illustrated MCDA application effects on balancing societal benefits against unintended side effects and risks. To manage the dependences among environmental factors [38] proposed a hybrid approach FANP (fuzzy analytic network process) as an integrated decision-support framework.…”
Section: Use Of Mcdm Models In Environmental Impact Assessmentmentioning
confidence: 99%
“…Develop an integrated, validated scientific platform for hazard, exposure, and risk assessment at a scale commensurate with technology growth Sustain and expand the NSF's Nanotechnology in Society Network and create additional infrastructure within other NNI lead agencies Develop new methods, such as multicriteria decision analysis (e.g., Linkov et al 2007;Tervonnen et al 2009) Investigate nanotechnology for the poor (Barker et al 2005) Institutionalize coordination of regulatory agencies and research organizations Use social science, history, philosophy, and ethics knowledge-base to research nano-ELSI rather than support actions subsidiary to outreach goals, e.g., draw on available theories & analysis of ongoing innovation trajectories…”
Section: Develop New Systemic Knowledge For a Life-cycle Approach To mentioning
confidence: 99%