466
X. Chen et al.
References
Achzet B, Helbig C (2013) How to evaluate raw material supply risks—an overview. Resour Policy.
38:435–447
Bosc P and Prade H (1997) An introduction to the fuzzy set and possibility theory-based treatment of
flexible queries and uncertain or imprecise databases, in Uncertainty management in information
systems, Springer, pp 285-324
Cheng C-H, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory with
linguistic criteria evaluation. Eur J Oper Res 142:174–186
Chuu S-J (2011) Interactive group decision-making using a fuzzy linguistic approach for evaluating
the flexibility in a supply chain. Eur J Oper Res 213:279–289
Commission European (2014) Report on Critical Raw materials for the EU. Brussels, Belgium,
European Commission
Druzdzel MJ (1989) Verbal uncertainty expressions: Literature review. Carnegie Mellon University,
Pittsburgh, PA
Dubois D, Prade H (1998) An introduction to fuzzy systems. Clin Chim Acta 270:3–29
Duclos SJ, Otto JP, Konitzer DG (2010) Design in an era of constrained resources. Mech Eng.
132:36–40
Erdmann L, Graedel TE (2011) Criticality of non-fuel minerals: a review of major approaches and
analyses. Environ Sci Technol 45:7620–7630
Glöser S, Tercero Espinoza L, Gandenberger C, Faulstich M (2015) Raw material criticality in the
context of classical risk assessment. Resour Policy. 44:35–46
Goddin JR (2019) Identifying supply chain risks for critical and strategic materials. In: Critical
materials: underlying causes and sustainable mitigation strategies, pp 117
Graedel TE, Barr R, Chandler C, Chase T, Choi J, Christoffersen L, Friedlander E, Henly C, Jun C,
Nassar NT, Schechner D, Warren S, Yang M-Y, Zhu C (2012) Methodology of metal criticality
determination. Environ Sci Technol 46:1063–1070
Granta Ansys (2017) GRANTA Design Database,
Hatayama H, Tahara K (2018) Adopting an objective approach to criticality assessment: learning
from the past. Resour Policy. 55:96–102
Haynes WM (2014) CRC handbook of chemistry and physics, ed. 95th. CRC press
Helmer O, Gordon TJ (1968) The Delphi Method - An Illustration. Technological procasting for
industry and government. Prentice-Hall Inc., Englewood Cliffs, NY, pp 123–132
Herrera-Viedma E, Pasi G, Lopez-Herrera AG, Porcel C (2006) Evaluating the information quality
of Web sites: A methodology based on fuzzy computing with words. J Am Soc Inform Sci.
57:538–549
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic, theory and applications. Prentice Hall PTR,
Upper Saddle River, New Jersey, USA
Lloyd S, Lee J, Clifton A, Elghali L, France C (2012) Recommendations for assessing materials
criticality. Proceedings of the Institution of Civil Engineers - Waste and Resource Management.
165:191–200
Mancini L, Sala S, Recchioni M, Benini L, Goralczyk M, Pennington D (2015) Potential of life
cycle assessment for supporting the management of critical raw materials. Int J Life Cycle Ass.
20:100–116
Nassar NT, Barr R, Browning M, Diao Z, Friedlander E, Harper EM, Henly C, Kavlak G, Kwatra
S, Jun C, Warren S, Yang M-Y, Graedel TE (2012) Criticality of the geological copper family.
Environ Sci Technol 46:1071–1078
National Research Council (2008) Mineral, Critical Minerals, and the U.S. Economy, The National
Academies Press: Washington, DC
Pedrycz W (1994) Why triangular membership functions? Fuzzy Set Syst. 64:21–30
Rosenau-Tornow D, Buchholz P, Riemann A, Wagner M (2009) Assessing the long-term supply
risks for mineral raw materials—a combined evaluation of past and future trends. Resour Policy.
34:161–175
X. Chen et al.
References
Achzet B, Helbig C (2013) How to evaluate raw material supply risks—an overview. Resour Policy.
38:435–447
Bosc P and Prade H (1997) An introduction to the fuzzy set and possibility theory-based treatment of
flexible queries and uncertain or imprecise databases, in Uncertainty management in information
systems, Springer, pp 285-324
Cheng C-H, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory with
linguistic criteria evaluation. Eur J Oper Res 142:174–186
Chuu S-J (2011) Interactive group decision-making using a fuzzy linguistic approach for evaluating
the flexibility in a supply chain. Eur J Oper Res 213:279–289
Commission European (2014) Report on Critical Raw materials for the EU. Brussels, Belgium,
European Commission
Druzdzel MJ (1989) Verbal uncertainty expressions: Literature review. Carnegie Mellon University,
Pittsburgh, PA
Dubois D, Prade H (1998) An introduction to fuzzy systems. Clin Chim Acta 270:3–29
Duclos SJ, Otto JP, Konitzer DG (2010) Design in an era of constrained resources. Mech Eng.
132:36–40
Erdmann L, Graedel TE (2011) Criticality of non-fuel minerals: a review of major approaches and
analyses. Environ Sci Technol 45:7620–7630
Glöser S, Tercero Espinoza L, Gandenberger C, Faulstich M (2015) Raw material criticality in the
context of classical risk assessment. Resour Policy. 44:35–46
Goddin JR (2019) Identifying supply chain risks for critical and strategic materials. In: Critical
materials: underlying causes and sustainable mitigation strategies, pp 117
Graedel TE, Barr R, Chandler C, Chase T, Choi J, Christoffersen L, Friedlander E, Henly C, Jun C,
Nassar NT, Schechner D, Warren S, Yang M-Y, Zhu C (2012) Methodology of metal criticality
determination. Environ Sci Technol 46:1063–1070
Granta Ansys (2017) GRANTA Design Database,
Hatayama H, Tahara K (2018) Adopting an objective approach to criticality assessment: learning
from the past. Resour Policy. 55:96–102
Haynes WM (2014) CRC handbook of chemistry and physics, ed. 95th. CRC press
Helmer O, Gordon TJ (1968) The Delphi Method - An Illustration. Technological procasting for
industry and government. Prentice-Hall Inc., Englewood Cliffs, NY, pp 123–132
Herrera-Viedma E, Pasi G, Lopez-Herrera AG, Porcel C (2006) Evaluating the information quality
of Web sites: A methodology based on fuzzy computing with words. J Am Soc Inform Sci.
57:538–549
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic, theory and applications. Prentice Hall PTR,
Upper Saddle River, New Jersey, USA
Lloyd S, Lee J, Clifton A, Elghali L, France C (2012) Recommendations for assessing materials
criticality. Proceedings of the Institution of Civil Engineers - Waste and Resource Management.
165:191–200
Mancini L, Sala S, Recchioni M, Benini L, Goralczyk M, Pennington D (2015) Potential of life
cycle assessment for supporting the management of critical raw materials. Int J Life Cycle Ass.
20:100–116
Nassar NT, Barr R, Browning M, Diao Z, Friedlander E, Harper EM, Henly C, Kavlak G, Kwatra
S, Jun C, Warren S, Yang M-Y, Graedel TE (2012) Criticality of the geological copper family.
Environ Sci Technol 46:1071–1078
National Research Council (2008) Mineral, Critical Minerals, and the U.S. Economy, The National
Academies Press: Washington, DC
Pedrycz W (1994) Why triangular membership functions? Fuzzy Set Syst. 64:21–30
Rosenau-Tornow D, Buchholz P, Riemann A, Wagner M (2009) Assessing the long-term supply
risks for mineral raw materials—a combined evaluation of past and future trends. Resour Policy.
34:161–175