A new MCDM approach to solve public sector planning problems

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, MCDM 2007

Volumn , Issue , 2007, Pages 153-159

  Kaplan, Pervin Ozge ^a   Ranjithan, S Ranji ^a  

^a North Carolina State University   (United States)

Author keywords

Association rule mining; Interactive methods; MCDM; Preference elicitation methods

Indexed keywords

ASSOCIATION RULES; LEARNING ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; PROBLEM SOLVING; PROCESS PLANNING;

ASSOCIATION RULE MINING; INTERACTIVE METHODS; MULTIPLE CRITERIA DECISION MAKING (MCMD); PREFERENCE ELICITATION METHODS;

DECISION THEORY;

EID: 34548795999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MCDM.2007.369430     Document Type: Conference Paper

References (26)

1. R.L. Keeney and H. Raiffa, Decisions with Multiple Objectives, Cambridge: Cambridge University Press, 1976.
2. T.L. Saaty, The Analytic Hierarchy Process, New York, NY: McGraw-Hill, Inc, 1980.
3. B. Roy, "How outranking relations help multiple criteria decision making," in Multicriteria Decision Making, J.Cochrane, and M. Zeleny, eds. University of South Carolina, 1973. pp.179-201.
4. S. Greco, B. Matarazzo and R. Slowinnski, "Decision rule approach," in Multiple criteria decision analysis: State of the art surveys, vol.78, J. Figueira, S. Greco and M. Ehrogott, Eds. New York, NY: Springer New York, 2005, pp. 507-555.
5. Z. Pawlak, "Rough sets." International J. of Computer and Information Sciences, vol. 11, pp. 341-356, 1982.
6. A. Kusiak, "Rough set theory: A data mining tool for semiconductor manufacturing." IEEE Transactions on Electronics Packaging Manufacturing, vol. 24, pp. 44-50, 2001.
7. H. Sadoyan, A. Zakarian and P. Mohanty, "Data mining algorithm for manufacturing process control," Int J Adv Manuf Technol, vol. 28, pp. 342-350, 2006.
8. R.S. Michalski, J.G. Carbonell, and T.M. Mitchell, Eds. Machine Learning: An Artificial Intelligence Approach, Los Altos: Morgan Kaufmann publishers, Inc, 1983.
9. R.S. Michalski, I. Bratko, and M. Kubat, Machine Learning and Data Mining, West Sussex: John Wiley and Sons, Ltd., 1998.
10. I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, San Francisco, CA: Morgan Kaufmann Publishers, 2005.
11. L.K. Branting, "Learning feature weights from customer return-set selections," Knowledge and Information Systems, vol. 6, pp. 188-202, 2004.
12. S. Yen and Y. Lee, "An efficient data mining approach for discovering interesting knowledge from customer transactions," Expert Syst. Appl., vol. 30, pp. 650-657, 2006.
13. E.D. Brill, "The Use of Optimization Models in Public-Sector Planning," Management Science, vol. 25, pp. 413-422, 1979.
14. E.D. Brill, S. Y. Chang and L. D. Hopkins, "Modeling to generate alternatives - the HSJ approach and an illustration using a problem in land-use planning." Management Science, vol. 28, pp. 221-235, 1982.
15. K.M. Miettinen, Nonlinear Multiobjective Optimization, Boston/London/Dordrecht: Kluwer Academic Publishers, 1999.
16. R.E. Steuer, "The Tchebycheff Procedure of Interactive Multiobjective Programming," in Multiple Criteria Decision Making and Risk Analysis Using Microcomputers B. Karpak and S. Zionts, Eds. Berlin, Heidelberg: Springer-Verlag, 1989a, pp 235-249.
17. A. Charnes, W. W. Cooper, and R. O. Ferguson, "Optimal Estimation of Executive Compensation by Linear Programming." Management Science, vol. 1, pp. 138-151, 1955.
18. K.W. Harrison, R.D. Dumas, E. Solano, M.A. Barlaz, E.D. Brill, Jr., and S.R. Ranjithan, "A Decision Support System for Development of Alternative Solid Waste Management Strategies with Life-Cycle Considerations." ASCE Journal of Computing in Civil Engineering, vol. 15, pp. 44-58, 2001.
19. P.O. Kaplan, M.A. Barlaz, and S. Ranjithan, "A Procedure for Life-Cycle-Based Solid Waste Management with Consideration of Uncertainty." Journal of Industrial Ecology, vol. 8, pp. 155-172, 2004.
20. E. Solano, S.R. Ranjithan, M.A. Barlaz, and E.D. Brill, Jr., "Life-Cycle-Based Solid Waste Management - 1. Model Development." ASCE Journal of Environmental Engineering, vol. 128, pp. 981-992, 2002.
21. E. Solano, R.D. Dumas, K.W. Harrison, S.R. Ranjithan, M.A. Barlaz, and E.D. Brill, Jr., "Life-Cycle-Based Solid Waste Management - 2. Illustrative Applications." ASCE Journal of Environmental Engineering, vol. 128, pp. 993-1005, 2002
22. R. Agrawal, T. Imielinski and A. Swami, "Database mining: A performance perspective," IEEE Trans. Knowled. Data Eng., vol. 5, pp. 914-925, 1993.
23. R. Agrawal, T. Imielinski and A. Swami, "Mining association rules between sets of items in large databases," in Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data. may 26-28 1993, 1993, pp. 207-216.
24. R. Agrawal and R. Srikant, "Fast algorithms for mining association rules in large databases," in Proceedings of the 20th International Conference on very Large Data Bases, Sep 12-15 1994, 1994, pp. 487.
25. P.A. Flach and N. Lachiche, "Confirmation-Guided Discovery of First-Order Rules with Tertius." Machine Learning, vol.42, pp. 61-95, 2001.
26. J.B. MacQueen, "Some Methods for classification and Analysis of Multivariate Observations," Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, University of California Press, vol. 1, pp. 281-297, 1967