Application of rough sets for environmental decision support in industry

Clean Technologies and Environmental Policy

Volumn 10, Issue 1, 2008, Pages 53-66

  Aviso, Kathleen B ^a   Tan, Raymond R ^a   Culaba, Alvin B ^a  

^a DE LA SALLE UNIVERSITY   (Philippines)

Author keywords

Decision support; Rough sets

Indexed keywords

DECISION MAKING; ENVIRONMENTAL IMPACT;

ALTERNATIVE ENERGY SOURCES; DECISION AIDS;

ROUGH SET THEORY;

EID: 39049155443     PISSN: 1618954X     EISSN: 16189558     Source Type: Journal    
DOI: 10.1007/s10098-007-0126-3     Document Type: Article

References (45)

1. Aloysius J (2006) User Acceptance of multi-criteria decision support systems: the impact of preference elicitation techniques. Eur J Oper Res 169:273-285
2. Aviso K, Tan R, Culaba A (2006) A multi-criteria rough set based methodology for life cycle impact assessment. J Philipp Inst Ind Eng 3(1):1-12
3. Azapagic A, Clift R (1999) Life cycle assessment and multiobjective optimization. J Cleaner Prod 7:135-143
4. Beynon M, Driffield N (2005) An illustration of variable precision rough sets model: an analysis of findings of the UK monopolies and mergers commission. Comput Oper Res 32(7):1739-1759
5. BP (2005) BP Statistical Review of World Energy June 2005. See also: http://www.bp.com/statistical/review
6. Culaba A, Purvis M (1999) A methodology for the life cycle and sustainability analysis of manufacturing processes. J Cleaner Prod 7:435-445
7. Daniel S et al (2004) Aggregating and evaluating the results of different environmental impact assessment methods. Ecol Indic 4:125-138
8. Energy Information Administration (2005a) International Energy Outlook 2005. See also: http://www.eia.doe.gov/oial/ieo/world.html
9. Energy Information Administration (2005b) International Energy Outlook 2005. See also: http://www.eia.doe.gov/oial/ieo/emissions.html
10. Geldermann J, Spengler T, Rentz O (2000) Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets Syst 115:45-65
11. González B, Adenso-Diaz B, González-Torre P (2002) A fuzzy logic approach for the impact assessment in LCA. Resour Conserv Recycl 37:61-79
12. Greco S, Matarazzo B, Slowinski R (1999) Theory and methodology: rough approximation of a preference relation by dominance relations. Eur J Oper Res 117:63-83
13. Greco S, Matarazzo B, Slowinski R (2001) Invited review: rough sets for multicriteria decision analysis. Eur J Oper Res 129:1-47
14. Greco S, Matarazzo B, Slowinski R (2002) Rough sets methodology for sorting problems in presence of multiple attributes and criteria. Eur J Oper Res 138:247-259
15. Henson R, Culaba A (2004) A diagnostic model for green productivity assessment of manufacturing processes. Int J LCA 9(6):379-386
16. Henson R, Culaba A, Mendoza G (2002) Evaluating environmental performance of pulp and paper manufacturing using the analytic hierarchy process and life cycle assessment. J Ind Ecol 6(1):15-28
17. Huang J, Ang B, Poh K (1995) Decision analysis in energy and environmental modeling. Energy 20:843-855
18. Lo SC, Ma HW, Lo SL (2005) Quantifying and reducing uncertainty in life cycle assessment using the Bayesian Monte Carlo Method. Sci Total Environ 340:25-33
19. Luger G, Stubblefield W (1989) Artificial intelligence and the design of expert systems. Benjamin/Cummings Publishing Company Inc., California
20. Mann M, Spath P (1997) Life cycle assessment of a biomass gasification combined-cycle system. National Renewable Energy Laboratory (NREL), Colorado
21. Mann M, Spath P (2001) A life cycle assessment of biomass cofiring in a coal-fired power plant. Clean Prod Processes 3:81-91
22. Pawlak Z (1982) Rough sets. Int J Comput Inf Sci 11:341-356
23. Pawlak Z (1997) Rough set approach to knowledge-based decision support. Eur J Oper Res 99:48-57
24. Pawlak Z (2002) Rough sets, decision algorithms, and Bayes' theorem. Eur J Oper Res 136:181-189
25. Petrie C, Webster T, Cutkosky M (1995) Using Pareto optimality to coordinate distributed agents. AIEDEM 9:269-281 (see also: http://www-cdr. stanford.edu/NextLink/papers/pareto/pareto.html )
26. Renaud J, Thibault J, Lanouette R, Kiss LN, Zaras K, Fonteix C (2007) Comparison of two multicriteria decision aid methods: net flow and rough set methods in a high yield pulping process. Eur J Oper Res 177(3):1418-1432
27. Rich E, Knight K (1991) Artificial intelligence. Tata McGraw-Hill Publishing Company Limited, New Delhi
28. ROSE (1999) 2. 0. 1999 http://www.-idss.cs.pu.poznan.pl/rose
29. Seppälä J, Basson L, Norris G (2001) Decision analysis framework for life cycle impact assessment. J Ind Ecol 5(4):45-68
30. Shih LH, Chang YS, Lin YT (2006) Intelligent evaluation approach for electronic product recycling via case-based reasoning. Adv Eng Inf 20:137-145
31. Sousa I, Eisenhard J, Wallace D (2000) Approximate life-cycle assessment of product concepts using learning systems. J Ind Ecol 4(4):61-81
32. Spath P, Mann M (2000) Life cycle assessment of a natural gas combined cycle power generation system. National Renewable Energy Laboratory (NREL), Colorado (see also: http://www.doe.gov/bridge )
33. Spath P, Mann M, Kerr D (1999). Life cycle assessment of coal-fired power production. National Renewable Energy Laboratory (NREL), Colorado (see also: http://www.doe.gov/bridge )
34. Tan R (2005) Rule-based life cycle impact assessment using modified rough set induction methodology. Environ Model Softw 20:509-513
35. Tan R, Culaba A (2005) A fuzzy decision support model for the selection of environment-friendly fuels for road vehicles. J East Asia Soc Transp Stud 6:3264-3275
36. Tan R, Culaba A, Purvis M (2004) POLCAGE 1.0-a possibilistic life-cycle assessment model for evaluating alternative transportation fuels. Environ Modell Softw 19:907-918
37. Tay F, Shen L (2002) Economic and financial prediction using rough sets model. Eur J Oper Res 141:641-659
38. The International Energy Agency (2002) Environmental and health impacts of electricity generation: a comparison of the environmental impacts of hydropower with those of other generation technologies. The International Energy Agency (see also: http://www.ieahydro.org/reports/ST3-020613b.pdf )
39. Thibault J, Taylor D, Yanofsky C, Lanouette R, Fonteix C, Zaras K (2003) Multicriteria optimization of a high yield pulping process with rough sets. Chem Eng Sci 58:203-213
40. Tseng TL, Huang CC (2007) Rough set-based approach to feature selection in customer relationship management. The International Journal of Management Science, Omega 35(4):365-383
41. Vestas Wind Systems (2005) Life cycle assessment of offshore and onshore sited wind power plants based on Vestas V90-3.0 MW turbines. Vestas Wind Systems, Denmark (see also: http://www.vestas.com )
42. Walczak B, Massart DL (1999) Tutorial: rough sets theory. Chemom Intell Lab Syst 47:1-16
43. Wang QH, Li JR (2004) A rough set-based fault ranking prototype system for fault diagnosis. Eng Appl Artif Intell 17:909-917
44. Zhou P, Ang B, Poh K (2006) Review: decision analysis in energy and environmental modeling: an update. Energy 31(14):2604-2622
45. Zhu J, Deshmukh A (2003) Application of Bayesian decision networks to life cycle engineering in green design and manufacturing. Eng Appl Artif Intell 16:91-103