Using a Software Tool for Public Decision Analysis: The Case of Nacka Municipality

References

• Aven T., Kørte J. On the use of risk and decision analysis to support decision making. Reliability Engrg. Systems Safety (2003) 29(3):289–299Crossref, Google Scholar
• Barron F. H. Selecting a best multiattribute alternative with partial information about attribute weights. Acta Psychologica (1992) 80(1–3):91–103Crossref, Google Scholar
• Boeva V., De Baets B., Tsiporkova E. Ranking of admissible alternatives in interval decision making. Internat. J. Systems Sci. (2004) 36:897–907Crossref, Google Scholar
• Brouwers L., Danielson M., Ekenberg L., Hansson K. Simulation and decision analysis of flood management strategies. J. Risk, Decision, Policy (2004) 9(1):23–45Crossref, Google Scholar
• Cano A., Moral S. A review of propagation algorithms for imprecise probabilities. Proc. 1st Internat. Sympos. Imprecise Probab. Their Appl. (1999) Ghent, Belgium http://decsai.ugr.es/∼smc/isipta99/proc/065.htmlGoogle Scholar
• Choquet G. Theory of capacities.. Annales de l’institut Fourier (1953/1954) 5:131–295Crossref, Google Scholar
• Danielson M. Handling imperfect user statements in real-life decision analysis. Internat. J. Inform. Tech. Decision Making (2004) 3(3):513–534Crossref, Google Scholar
• Danielson M. Generalized evaluation in decision analysis. Eur. J. Oper. Res. (2005) 162(2):442–449Crossref, Google Scholar
• Danielson M., Ekenberg L. A framework for analysing decisions under risk. Eur. J. Oper. Res. (1998) 104(3):474–484Crossref, Google Scholar
• Danielson M., Ekenberg L. Computing upper and lower bounds in interval decision trees. Eur. J. Oper. Res. (2007) 181(2):808–816Crossref, Google Scholar
• Danielson M., Ekenberg L., Grönlund Å., Larsson A. Public decision support—Using a DSS to increase democratic transparency. Internat. J. Public Inform. Systems (2005) 1:3–25Google Scholar
• Danielson M., Ekenberg L., Johansson J., Larsson A. The DecideIT decision tool. Proc. 3rd Internat. Sympos. Imprecise Probab. Their Appl. (2003) Lugano, Switzerland(Carleton Scientific, Waterloo, Ontario) 204–217Google Scholar
• Dempster A. P. Upper and lower probabilities induced by a multivalued mapping. Ann. Math. Statist. (1967) 38(2):325–339Crossref, Google Scholar
• Denneberg D.Non-Additive Measure and Integral (1994) (Kluwer, Dordrecht, The Netherlands) Crossref, Google Scholar
• Ekenberg L., Thorbiörnson J. Second-order decision analysis. Internat. J. Uncertainty, Fuzziness Knowledge-Based Systems (2001) 9(1):13–38Crossref, Google Scholar
• French S., Xu D.-L. Comparison study of multi-attribute decision analytic software. J. Multi-Criteria Decision Anal. (2005) 13:65–80Crossref, Google Scholar
• Gärdenfors P., Sahlin N.-E. Unreliable probabilities, risk taking, and decision making. Synthese (1988) 53:361–386Crossref, Google Scholar
• Hornberger J., Lenert L. Variation among quality-of-life surveys. Med. Care (1996) 34(12 supp):DS23–DS33Google Scholar
• Huber P. J. The case of Choquet capacities in statistics. Bull. Internat. Statist. Inst. (1973) 45:181–188Google Scholar
• Huber P. J., Strassen V. Minimax tests and the Neyman-Pearson’s lemma for capacities. Ann. Statist. (1973) 1:251–263Crossref, Google Scholar
• Idefeldt J., Larsson A., Danielson M. Preference ordering algorithms with imprecise expectations. Proc. 2006 Internat. MultiConference Engineers Comput. Scientists (2006) Hong Kong, China(Newswood Limited, Hongkong, China) 750–755Google Scholar
• Katsikopoulos V. K., Fasolo B. New tools for decision analysts. IEEE Trans. Systems, Man, Cybernetics—Part A: Systems Humans (2006) 36(5):960–967Crossref, Google Scholar
• Keeney R. L., Raiffa H.Decisions with Multiple Objectives: Preferences and Value Tradeoffs (1976) (Wiley, New York) Google Scholar
• Klir G. J. Uncertainty and information measures for imprecise probabilities: An overview. Proc. 1st Internat. Sympos. Imprecise Probab. Their Appl. (1999) Ghent, BelgiumGoogle Scholar
• Kyburg H. E.Probability and the Logic of Rational Belief (1961) (Wesleyan University Press, Middletown, CT) Google Scholar
• Larsson A., Johansson J., Ekenberg L., Danielson M. Decision analysis with multiple objectives in a framework for evaluating imprecision. Internat. J. Uncertainty, Fuzziness Knowledge-Based Systems (2005) 13(5):495–510Crossref, Google Scholar
• Maxwell D. T. Improving hard decisions. OR/MS Today (2006) . http://www.lionhrtpub.com/orms/orms-12-06/frdas.htmlGoogle Scholar
• Mustajoki J., Hämäläinen R. P., Salo A. A. Decision support by interval SMART/SWING—Incorporating imprecision in the SMART and SWING methods. Decision Sci. (2005) 36(2):317–339Crossref, Google Scholar
• Salo A. A., Hämäläinen R. P. Preference assessment by imprecise ratio statements. Oper. Res. (1992) 40(6):1053–1061Link, Google Scholar
• Salo A. A., Hämäläinen R. P. Preference programming through approximate ratio comparisons. Eur. J. Oper. Res. (1995) 82(3):458–475Crossref, Google Scholar
• Salo A. A., Hämäläinen R. P. Preference ratios in multiattribute evaluation (PRIME)—Elicitation and decision procedures under incomplete information. IEEE Trans. Systems, Man, Cybernetics—Part A: Systems Humans (2001) 31(6):533–545Crossref, Google Scholar
• Salo A. A., Punkka A. Rank inclusion in criteria hierarchies. Eur. J. Oper. Res. (2005) 163(2):338–356Crossref, Google Scholar
• Shafer G.A Mathematical Theory of Evidence (1976) (Princeton University Press, Princeton, NJ) Crossref, Google Scholar
• Smith C. A. B. Consistency in statistical inference and decision. J. Roy. Statist. Soc. B (1961) 23:1–37Google Scholar
• Walley P.Statistical Reasoning with Imprecise Probabilities (1991) (Chapman and Hall, London, UK) Crossref, Google Scholar
• Weichselberger K. The theory of interval-probability as a unifying concept for uncertainty. Proc. 1st Internat. Sympos. Imprecise Probab. Their Appl. (1999) Ghent, BelgiumGoogle Scholar
• Weichselberger K., Pöhlman S.A Methodology for Uncertainty in Knowledge-Based Systems (1990) (Springer-Verlag, New York) Google Scholar
• Yager R. R., Fedrizzi M., Kacprzyk J.Advances in the Dempster-Shafer Theory of Evidence (1994) (John Wiley & Sons, New York) Google Scholar