Interactive preference elicitation incorporating a priori and a posteriori methods

Annals of Operations Research

Volumn 232, Issue 1, 2015, Pages 99-113

  Eyvindson, Kyle ^a   Hujala, Teppo ^b   Kurttila, Mikko ^b   Kangas, Annika ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

^b FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Forest management planning; Goal programming; Interactive decision making; Multicriteria analysis

Indexed keywords

EID: 84939272487     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-013-1316-5     Document Type: Article

References (41)

1. Ananda, J., & Herath, G. (2009). A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecological Economics, 68, 2535–2548.
2. Avesani, P., Perini, A., & Ricci, F. (2000). Interactive case-based planning for forest fire management. Applied Intelligence, 13(1), 41–57.
3. Beshears, J., Choi, J. J., Laibson, D., & Madrian, B. C. (2008). How are preferences revealed? Journal of Public Economics, 92, 1787–1794.
4. Charnes, A., Cooper, W. W., & Ferguson, R. (1955). Optimal estimation of executive compensation by linear programming. Management Science, 1, 138–151.
5. Charnes, A., & Cooper, W. W. (1961). Management models and industrial applications of linear programming. New York: Wiley.
6. Choi, J. J., Laibson, D., Madrian, B. C., & Metrick, A. (2006). Saving for retirement on the path of least resistance. In E. McCaffrey & J. Slemrod (Eds.), Behavioral public finance: toward a new agenda (pp. 304–351). New York: Russell Sage Foundation.
7. Dillman, D., Smyth, J., & Christian, L. (2009). Internet, mail and mixed-mode surveys: the tailored design method (3rd ed.). Hoboken: Wiley.
8. Diaz-Balteiro, L., & Romero, C. (2008). Making forestry decisions with multiple criteria: a review and an assessment. Forest Ecology and Management, 255, 3222–3241.
9. Diaz-Balteiro, L., González-Pachón, J., & Romero, C. (2012). Goal programming in forest management: customizing models for the decision-maker’s preferences. Scandinavian Journal of Forest Research. doi:10.1080/02827581.2012.712154.
10. Dyer, J. S. (1972). Interactive goal programming. Management Science, Theory Series, 19(1), 62–72.
11. Eyvindson, K., Kangas, A., Kurttila, M., & Hujala, T. (2010). Using preference information in developing alternative forest plans. Canadian Journal of Forest Research, 40, 2398–2410.
12. Field, D. B. (1973). Goal programming for forest management. Forest Science, 19, 125–135.
13. Franz, L. S., & Lee, S. M. (1981). A goal programming based interactive support system. In J. N. Morse (Ed.), Lecture notes on economic mathematical systems: Vol. 190. Organizations: multiple agents with multiple criteria (pp. 110–115). Berlin: Springer.
14. Geoffrion, A. M., Dyer, J. S., & Feinberg, A. (1972). An interactive approach for multicriterion optimization with an application to the operation of an academic department. Management Science, 19(4), 357–368.
15. Hiltunen, V., Kurttila, M., Leskinen, P., Pasanen, K., & Pykäläinen, J. (2009). MESTA: an Internet-based decision-support application for participatory strategic-level natural resources planning. Forest Policy and Economics, 11(1), 1–9.
16. Hwang, C.-L., & Masud, A. S. M. (1979). Multi objective decision making—methods and applications. Berlin: Springer.
17. Kangas, J., & Pukkala, T. (1992). A decision theoretic approach applied to goal programming of forest management. Silva Fennica, 26, 169–179.
18. Keeney, R. L., & Raiffa, H. (1976). Decisions with multiple objectives: preferences and value tradeoffs. New York: Wiley.
19. Kharrat, A., Chabchoub, H., & Aouni, B. (2010). Decision-maker’s preferences modelling within the interactive imprecise goal programming model. International Journal of Innovative Computing and Applications, 2(3), 150–169.
20. Klamroth, K., & Miettinen, K. (2008). Integrating approximation and interactive decision making in multicriteria optimization. Operations Research, 56(1), 222–234.
21. Korhonen, P., Moskowitz, H., & Wallenius, J. (1990). Choice behaviour in interactive multiple criteria decision making. Annals of Operations Research, 23, 161–179.
22. Kurttila, M., Heinonen, T., Hujala, T., Kangas, A., Nuutinen, T., Pukkala, T., Pykäläinen, J., Rasinmäki, J., & Tikkanen, J. (2013, in press). The use of forest decision support systems in Finland. In J. G. Borges, E.-M. Nordström, J. Garcia-Gonzalo, T. Hujala, & A. Trasobares (Eds.), Computer-based tools for supporting forest management. The experience and the expertise world-wide. Brussels: OPOCE.
23. Lappi, J. (2004). J-users’ guide. Version 0. 9.4. Finnish Forest Research Institute, Suonenjoki Research Station.
24. Mendoza, G. A., & Martins, H. (2006). Multi-criteria decision analysis in natural resource management: a critical review of methods and new modelling paradigms. Forest Ecology and Management, 230(1–3), 1–22.
25. Metsätalouden kehittämiskeskus Tapio (2006). Hyvän metsänhoidon suositukset [Guidelines for good silviculture]. Metsätalouden kehittämiskeskus Tapion julkaisuja 22/2006 (in Finnish).
26. Miettinen, K. (1999). Nonlinear multiobjective optimization. Dordrecht: Kluwer.
27. Pasanen, K., Kurttila, M., Pykäläinen, J., Kangas, J., & Leskinen, P. (2005). Mesta—nonindustrial private forest owners’ decision-support environment for the evaluation of alternative forest plans over the Internet. International Journal of Information Technology & Decision Making, 4(4), 601–620.
28. Pykäläinen, J., & Kurttila, M. (2009). Interactive method for supporting forest owners in biodiversity protection decisions. Small Scale Forestry, 8(3), 337–348.
29. Pykäläinen, J. (2000). Interactive use of multi-criteria decision analysis in forest planning. Doctoral thesis, University of Joensuu, Faculty of Forestry.
30. Rabin, M. (1998). Psychology and economics. Journal of Economic Literature, 36, 11–46.
31. Redsven, V., Hirvelä, H., Härkönen, K., Salminen, O., & Siitonen, M. (2011). MELA2009 reference manual (2nd ed.). The Finnish Forest Research Institute. ISBN 978-951-40-2283-3.
32. Romero, C. (2004). A general structure of achievement function for a goal programming model. European Journal of Operational Research, 153(3), 675–686.
33. Samuelson, P. A. (1937). A note on measurement of utility. Review of Economic Studies, 4(2), 155–161.
34. Sheppard, S. R. J., & Meitner, M. J. (2005). Using multi-criteria analysis and visualisation for sustainable forest management planning with stakeholder groups. Forest Ecology and Management, 207(1–2), 171–187.
35. Steuer, R. (1986). Multiple criteria optimization: theory, computation, and application. New York: Wiley.
36. Tamiz, M., & Jones, D. (1997). Interactive frameworks for investigation of goal programming models: theory and practices. Journal of Multi-Criteria Decision Analysis, 6, 52–60.
37. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: heuristics and biases. Science, 185, 1124–1131.
38. Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211, 453–458.
39. Vitoriano, B., & Romero, C. (1999). Extended interval goal programming. Journal of the Operational Research Society, 50(12), 1280–1283.
40. Zionts, S., & Wallenius, J. (1976). An interactive programming method for solving the multiple criteria problem. Management Science, 22(6), 652–663.
41. Zionts, S., & Wallenius, J. (1983). An interactive multiple objective linear programming method for a class of underlying nonlinear utility functions. Management Science, 29(5), 519–529.