A Fuzzy Logic Based Approach to Assess Sustainable Development of the Mining and Minerals Sector

Sustainable Development

Volumn 20, Issue 6, 2012, Pages 386-399

  Kommadath, Basanth ^a   Sarkar, Runa ^b   Rath, Binayak ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b INDIAN INSTITUTE OF MANAGEMENT CALCUTTA   (India)

^c UTKAL UNIVERSITY   (India)

Author keywords

Assessment for sustainability; Degree of sustainability; Economics of sustainable development; Fuzzy logic; Mining and minerals sector; Sustainability indicators; Sustainable development; Weak sustainability criteria

Indexed keywords

CONCEPTUAL FRAMEWORK; ECONOMIC ACTIVITY; FUZZY MATHEMATICS; METHODOLOGY; MINERALS INDUSTRY; MINING INDUSTRY; POLICY MAKING; STAKEHOLDER; SUSTAINABLE DEVELOPMENT;

EID: 84870278083     PISSN: 09680802     EISSN: 10991719     Source Type: Journal    
DOI: 10.1002/sd.503     Document Type: Article

References (98)

1. Adinyira E, Oteng-Seifah S, Adjei-Kumi T. 2007. A review of urban sustainability assessment methodologies. In International Conference on Whole Life Urban Sustainability and its Assessment, Glasgow, Horner M, Hardcastle C, Price A, Bebbington J (eds). http://download.sue-mot.org/Conference-2007/Papers/Adinyira.pdf
2. Andriantiatsaholiniania L, Phillis YA. 2001. Sustainability: an ill defined concept and its assessment using fuzzy logic. Ecological Economics 39: 435-456.
3. Ayres RU. 1994. Life Cycle Analysis - a Critique, Working Paper 94/33/EPS. Center for the Management of Environmental Resources (CMER): Fontainbleau.
4. Azadi H, Shahvali M, Faghih N. 2003. Using fuzzy logic in solving conflict between sustainability and pasture. The Proceedings of the Fourth Seminar on Fuzzy Sets and its Applications, Babolsar, Iran; 1-15.
5. Azapagic A. 2004. Developing a framework for sustainable development indicators for mining and minerals industry. Journal of Cleaner Production 12: 639-662.
6. Balas CE, Ergin A, Williams AT, Koc L. 2004. Marine litter prediction by artificial intelligence. Marine Pollution Bulletin 48: 449-457.
7. Baldasano JM, Güereca LP, Agell N, Gassó S. 2007. Fuzzy approach to life cycle impact assessment. an application for biowaste management systems. International Journal of Life Cycle Assessment 12(7): 488-496.
8. Barbier EB, Markandya A, Pearce DW. 1990. Environmental sustainability and cost-benefit analysis. Environment and Planning 22: 1259-1266.
9. Barro R, Sala-i-Martin X. 1995. Economic Growth. McGraw-Hill, New York.
10. Bishop R. 1978. Endangered species and uncertainty: the economics of a safe minimum standard. American Journal of Agricultural Economics 60: 10-13.
11. Bond AJ, Morrison-Saunders A. 2009. Sustainability appraisal: jack of all trades, master of none? Impact Assessment and Project Appraisal 27(4): 321-329.
12. Borri D, Khakee A, Lacirignola C (eds). 1997. Evaluating Theory-Practice and Urban-Rural Interplay in Planning. Kluwer: Dordrecht.
13. Bosma RH, Phong LT, Kaymak U, Van Den Berg J, Udo HMJ, Van Mensvoort MEF, Tri LQ. 2006. Assessing and modeling farmers' decision-making on integrating aquaculture into agriculture in the Mekong Delta. NJAS - Wageningen Journal of Life Sciences 53(3/4): 281-300.
14. Bruntland Report. 1987. Our Common Future. Oxford University Press from the United Nations World Commission on Environment and Development (WCED): Oxford.
15. Caldwell LK. 1991. Analysis-assessment-decision: the anatomy of rational policymaking. Impact Assessment Bulletin 9: 81-92.
16. Canada's Minerals and Metals Indicators (MMI) Initiative. 2003. Mineral and Metal Policy Branch, Natural Resources Canada, Government of Canada. www.minecon.com/Proceedings03/WendyRipmeesterdoc.pdf [17 November 2009].
17. Carvalho GO. 2001. Sustainable development: is it achievable within the existing international political economy context? Sustainable Development 9(2): 61-73.
18. Connor MO and Spangenberg JH. 2008. A methodology for CSR reporting: assuring a representative diversity of indicators across stakeholders, scales, sites and performance issues. Journal of Cleaner Production 16: 1399-1415.
19. Cornelissen AMG, Van Den Berg J, Koops WJ, Grossman M, Udo HM. 2001. Assessment of the contribution of sustainability indicators to sustainable development: a novel approach using fuzzy set theory. Agriculture, Ecosystems and Environment 86: 173-185.
20. Crowson P. 1998. Mining and sustainable development: measurement and indicators. Raw Materials Report 13(1): 27-33.
21. Cumberland JH, Korbach RJ. 1973. A regional inter industry environmental model. Papers and Proceedings. Regional Science Association 30: 61-75.
22. Dasgupta P, Heal D. 1979. Economic Theory and Exhaustible Resources. Cambridge University Press: London.
23. de Kok JL, Titus M, Wind HG. 2000. Application of fuzzy sets and cognitive maps to incorporate social science scenarios in integrated assessment models: a case study of urbanization in Ujung Pandang, Indonesia. Integrated Assessment 1: 177-188.
24. Devuyst D. 1999. Sustainability assessment: the application of a methodological framework. Journal of Environmental Assessment Policy and Management 14(1): 459-487.
25. Dovers SR, Handmer JW. 1993. Contradictions in sustainability. Environmental Conservation 20(3): 217-222.
26. Dunn EG, Keller JM, Marks LA, Ikerd JE, Fader PD, Godsey LD. 1995. Extending the application of fuzzy sets to the problem of agricultural sustainability. IEEE Proceedings of ISUMA-NAFIPS 95, Missouri-Columbia, USA; 497-502.
27. El-Awad OMA. 1991. Multi-Criterion Approach to the Evaluation of Irrigation Systems Performance, PhD Thesis, University of Newcastle upon Tyne Department of Civil Engineering.
28. Elkington J. 1997. Cannibals with Forks: the Triple Bottom Line of 21st Century Business. Capstone: Oxford.
29. Fava JA. 1998. Life cycle perspectives to achieve business benefits: from concept to technique. Human and Ecological Risk Assessment: an International Journal 4(4): 1003-1017.
30. Ferraro DO, Ghersa CM, Sznaider GA. 2003. Evaluation of environmental impact indicators using fuzzy logic to assess the mixed cropping systems of the inland pampa, Argentina. Agriculture Ecosystems and Environment 96: 1-18.
31. Geldermann J, Spengler T, Rentz O. 2000. Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets Systems 115: 45-65.
32. Giddings B, Hopwood B, O'Brian G. 2002. Environment, economy and society: fitting them together into sustainable development. Sustainable Development 10(4): 187-196.
33. Glasson J, Therivel R, Chadwick A. 1999. Introduction to Environmental Impact Assessment. UCL Press: London.
34. Global Reporting Initiative (GRI). 2005. Mining and Metals Sector Supplement Pilot Version 1.0. http://www.globalreporting.org/NR/rdonlyres/25EEF0C7-F050-48CA-9FF5C79F359D9976/0/SS_MiningMetals_ENG.pdf [17 November 2009].
35. González B, Adenso-Diaz B, González-Torre PL. 2002. A fuzzy logic approach for the impact assessment in LCA. Resources, Conservation and Recycling 37: 61-79.
36. Goodstein ES. 2007. Economics and the Environment, 5th edn. Wiley: New York.
37. Gregory R. 1986. Interpreting measures of economic loss: evidence from contingent valuation and experimental studies. Journal of Environmental Economics and Management 13: 325-337.
38. GRI (2002). Sustainability Reporting Guidelines, Global Reporting Initiative - GRI, Boston, MA.
39. Hartwick JM. 1977. Intergenerational equity and the investing of rents from exhaustible resources. American Economic Review 66: 972-974.
40. Hartwick JM. 1978a. Investing returns from depleting renewable resource stocks and intergenerational equity. Economic Letters 1: 85-88.
41. Hartwick JM. 1978b. Substitution among exhaustible resources and intergenerational equity. Review of Economic Studies 45: 347-354.
42. Hartwick JM. 1990. Natural resources, national accounts, and economic depreciation. Journal of Public Economics 43: 291-304.
43. Hicks J. 1946. Value and Capital, 2nd edn. Oxford University Press: Oxford.
44. Holden E, Linnerud K. 2007. The sustainable development area: satisfying basic needs and safeguarding ecological sustainability. Sustainable Development 15(3): 174-187.
45. International Institute for Sustainable Development. 2002. Seven Questions to Sustainability. http://www.iisd.org/publications/pub.aspx?id=456 [15 November 2008].
46. Isard W, Choguill CL, Kissin J, Seyfarth RH, Tatlock R, Bassett KE. 1972. Ecologic-Economic Analysis for Regional Development. Free Press: New York.
47. Jang C, Sun T, Mizutani E. 1997. Neuro-Fuzzy and Soft Computing. Prentice-Hall, Englewood Cliffs, NJ.
48. Joshi S. 2001. Product environmental life-cycle assessment using input-output techniques. Journal of Industrial Ecology 3(2/3): 95-120.
49. Kallio TJ, Nordberg P, Ahonen A. 2007. Rationalizing sustainable development - a critical treatise. Sustainable Development 15(1): 41-51.
50. Klir GJ, Folger TA. 1988. Fuzzy Sets, Uncertainty and Information. Prentice-Hall, Englewood Cliffs, NJ.
51. Kosko B. 1992. Neural Networks and Fuzzy Systems. A Dynamical Approach to Machine Intelligence. Prentice Hall, Englewood Cliffs, NJ.
52. Lee CC. 1990. Fuzzy logic in control systems: fuzzy logic controller - part I and II. IEEE Transactions on Systems, Man and Cybernetics 20: 404-435.
53. Leontief W. 1955. NBER, Input-output analysis: an appraisal, studies in income and wealth. In Conference on Research in Income and Wealth, Princeton University Press, Princeton, NJ.
54. MacKay AF. 1980. Arrow's Theorem. The Paradox of Social Choice: a Case Study in the Philosophy of Economics. Yale University Press: New Haven, CT.
55. Marks LA, Dunn EG, Keller JM, Godsey LD. 1995. Multiple Criteria Decision Making (MCDM) Using Fuzzy Logic: an Innovative Approach to Sustainable Agriculture. Department of Agricultural Economics and Department of Electrical and Computer Engineering, University of Missouri - Columbia. ssedunn@muccmail.missouri.edu [15 November 2008].
56. Meadows D. 1998. Indicators and Information Systems for Sustainable Development, report to the Balaton Group. Sustainability Institute. Hartland Vermont, 1998.
57. Mebratu D. 1998. Sustainability and sustainable development: a historical and conceptual review. Environmental Impact Assessment Review 18: 493-520.
58. Mikesell RF. 1997. Explaining the resource curse, with special reference to mineral-exporting countries. Resources Policy 23(4): 191-199.
59. Mining, Minerals and Sustainable Development (MMSD). 2002. Breaking New Ground - the Report of the MMSD Project. International Institute for Environment and Development: London.
60. Mudge G. 1993. Environmental Assessment - Present Problems and Future Prospects - Capacity Building. International Academy of the Environment Natural Resources Geneva. Canada.
61. Munda G, Nijkamp P, Rietveld P. 1995. Qualitative multi-criteria methods for fuzzy evaluation problems: an illustration of economic-ecological evaluation. European Journal of Operational Research 82: 79-97.
62. Odum EP. 1971. Fundamentals of Ecology. Saunders: Philadelphia, PA.
63. Pearce A, Walrath L. 2001. Definitions of Sustainability from the Literature. http://maven.gtri.gatech.edu/sfi/resources/pdf/definitions.pdf [12 November 2009].
64. Pearce D, Atkinson G. 1993. Capital theory and the measurement of sustainable development: an indicator of weak sustainability. Ecological Economics 8: 103.
65. Pearce DW, Markandya A, Barbier EB. 1990. Sustainable Development. Earthscan: London.
66. Peskin HM. 1989. Accounting for Natural Resource Depreciation in Developing Countries, Environment Department Working Paper 13. World Bank: Washington, DC.
67. Pezzey J. 1989. Economic Analysis of Sustainable Growth and Sustainable Development, Environment Department Working Paper 15. World Bank, Washington, DC.
68. Pope JD, Morrison-Saunders A. 2004. Conceptualizing, sustainability assessment. Environmental Impact Assessment Review 24: 595-616.
69. Prato T. 2005. A fuzzy logic approach for evaluating ecosystem sustainability. Ecological Modelling 187: 361-368.
70. Rao PK. 2000. Sustainable Development - Economics and Policy. Blackwell: Oxford.
71. Romer PM. 1990. Endogenous technological change. Journal of Political Economy 98: S71-S102.
72. Ross TJ. 1995. Fuzzy Logic with Engineering Applications. McGraw-Hill: New York.
73. Ruspini EH, Bonissone PP, Pedrycz W (eds). 1998. Handbook of Fuzzy Computation. Institute of Physics Publishing: Bristol.
74. Salemi G, Enea M. Fuzzy approach to the environmental impact evaluation. Ecological Modelling 136: 131-147.
75. Sam-Amoah LK, Gowing JW. 2001. Assessing the performance of irrigation schemes with minimum data on water deliveries. Irrigation and Drainage Systems 50: 31-39.
76. Schaltegger S (ed.). 1996. Life Cycle Assessment (LCA) - Quo Vadis? Birkhäuser: Basel.
77. Scott MF. 1989. A New View of Economic Growth. Oxford University Press: Oxford.
78. Sicat RS, Carranza EJM, Nidumolu UB. 2005. Fuzzy modeling of farmers' knowledge for land suitability classification. Agricultural Systems 83: 49-75.
79. Silvert W. 1997. Ecological impact classification with fuzzy sets. Ecological Modeling 96: 1-10.
80. Smith WH. 1990. The health of North American forests: stress and risk assessment. Journal of Forestry 88(1): 32-35.
81. Solow R. 1974. Intergenerational equity and exhaustible resources. Symposium on the Economics of Exhaustible Resources. Review of Economic Studies 41: 29-45.
82. Solow RM. 1986. On the intergenerational allocation of resources. Scandanavian Journal of Economics 88: 141-149.
83. Speeding CRW. 1996. Agriculture and the Citizen. Chapman and Hall, London; 149-157.
84. Theobald WF (ed.). 2005. Global Tourism. Butterworth-Heinemann: Burlington, MA.
85. Tisdell C. 2001. Globalisation and sustainability; environmental Kuznets curve and the WTO. Ecological Economics 39: 185-196.
86. United Nations Conference on Environment and Development (UNCED). 1992. Earth Summit 92 (Agenda 21). Regency: London.
87. Van Zyl D. 2005. Sustainable Development and Mining Communities, In: Mining in New Mexico: The Environment, Water, Economics, and Sustainable Development, Price, GL, Bland D, McLeMore VT and Barker JM (eds). New Mexico Bureau of Geology and Mineral Resources; 133-136.
88. Weckenmann A, Schwan A. 2001. Environmental life cycle assessment with support of fuzzy-sets. International Journal of Life Cycle Assessment 6(1): 13-17.
89. Yu Jing, Yao Shuzhen, Chena Rongqiu, Zhub Kejun, Yub Liandi. 2005. A quantitative integrated evaluation of sustainable development of mineral resources of a mining city: a case study of Huangshi, Eastern China. Resources Policy 30: 7-19.
90. Zadeh LA. 1965. Fuzzy sets. Information and Control 8(3): 338-353.
91. Zadeh LA. 1973. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics 3: 28-44.
92. Zadeh LA. 1974. Fuzzy logic and its application to approximate reasoning. Information Processing 74: 591-594.
93. Zadeh LA. 1975a. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences 8: 199-249.
94. Zadeh LA. 1975b. Fuzzy logic and approximate reasoning (in memory of Grigore Moisil). Synthese 30: 407-428.
95. Zadeh LA. 1979a. A theory of approximate reasoning. In Machine Intelligence Vol. 9, Hayes J, Michie D, Mikulich L (eds). Halstead: New York; 149-194.
96. Zadeh LA. 1979b. Fuzzy sets and information granularity. In Advances in Fuzzy Set Theory and Applications Gupta M, Ragade R. Yager R (eds). North-Holland: Berkeley, CA; 3-18.
97. Zimmermann HJ. 1967. Multicriteria decision making in crisp and fuzzy environments. Fuzzy Sets and Applications Boston.
98. Zimmermann HJ. 1986. Fuzzy Sets, Decision Making and Expert Systems. Kluwer Academic Publishers, Dordrecht.