Managing the collection of information under uncertainty using information economics

Journal of Mechanical Design

Volumn 128, Issue 4, 2006, Pages 980-990

  Ling, Jay M ^a   Aughenbaugh, Jason Matthew ^a   Paredis, Christiaan J J ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Decision based design; Imprecise probabilities; Information economics; Value of information

Indexed keywords

DECISION MAKING; ECONOMICS; PROBABILITY; PROBABILITY DISTRIBUTIONS; PRODUCT DESIGN;

DECISION-BASED DESIGN; ENGINEERING DESIGN; IMPRECISE PROBABILITIES; INFORMATION ECONOMICS; VALUE OF INFORMATION;

PRESSURE VESSELS;

EID: 33746407663     PISSN: 10500472     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.2205878     Document Type: Article

References (42)

1. Pahl, G., and Beitz, W., 1996, Engineering Design: A Systematic Approach, Springer, London.
2. Hazelrigg, G. A., 1996, Systems Engineering: An Approach to Information-Based Design, Prentice Hall, Englewood Cliffs, NJ.
3. Thurston, D. L., 1990, "Subjective Design Evaluation With Multiple Attributes," presented at the 2nd International Conference on Design Theory and Methodology, Sep. 16-19, ASME, New York, Vol. 27, pp. 355-361.
4. Marston, M., Allen, J. K., and Mistree, F., 2000, "The Decision Support Problem Technique: Integrating Descriptive and Normative Approaches in Decision Based Design," J. Eng. Valuation Cost Anal., 3, pp. 107-129.
5. Kmietowicz, Z. W., and Pearman, A. D., 1981, Decision Theory and Incomplete Knowledge, Gower, Aldershot, England.
6. Marschak, J., 1974, Economic Information, Decision, and Prediction: Selected Essays, D. Reidel, Boston.
7. Gupta, S. K., and Xu, C., 2002, "Estimating the Optimal Number of Alternatives to be Explored in Large Design Spaces: A Step Towards Incorporating Decision Making Cost in Design Decision Models," ASME DETC Computers and Information in Engineering Conference, Montreal, Canada, Report No. DETC2002/CIE-34491.
8. Radhakrishnan, R., and McAdams, D. A., 2005, "A Methodology for Model Selection in Engineering Design," J. Math. Biol., 127, pp. 378-387.
9. Bradley, S. R., and Agogino, A. M., 1994, "An Intelligent Real TIme Design Methodology for Component Selection: An Approach to Managing Uncertainty," J. Math. Biol., 116, pp. 980-988.
10. Law, A. M., and Kelton, D. W., 2000, Simulation Modeling and Analysis, McGraw-Hill, St. Louis.
11. Cost-Benefit Analysis, 2nd ed., 1994, R. Layard and S. Glaister, eds., Cambridge University Press, Cambridge.
12. Lawrence, D. B., 1999, The Economic Value of Information, Springer-Verlag, New York.
13. Howard, R. A., 1965, "Bayesian Decision Models for Systems Engineering," IEEE Trans. Syst. Sci. Cybern., SSC-1(1), pp. 36-40.
14. Howard, R. A., 1966, "Information Value Theory," IEEE Trans. Syst. Sci. Cybern., SCC-2(1), pp. 22-26.
15. Matheson, J. E., 1968, "The Economic Value of Analysis and Computation," IEEE Trans. Syst. Sci. Cybern., SSC-4(3), pp. 325-332.
16. Walley, P., 1991, Statistical Reasoning With Imprecise Probabilities, Chapman and Hall, New York.
17. Lieberman, M., and Hall, R., 2000, Introduction to Economics, South-Western College Publishing, Cincinnati.
18. Rubin, M. R., 1983, Information Economics and Policy in the U.S., Libraries Unltd., Littleton, CO.
19. Strassmann, P. A., 1999, Information Productivity, Information Economics Press, New Canaan.
20. Strassmann, P. A., 2004, "The Foundations of Information Economics - Part I," Information Economics Journal, March, pp. 15-18.
21. Jayaram, S., Vance, J., Gadh, R., Jayaraman, J., and Srinivasan, H., 2001, "Assessment of Vr Technology and its Applications to Engineering Problems," ASME J. Comput. Inf. Sci. Eng., 1(1), pp. 72-83.
22. Ciocoiu, M., Gruninger, M., and Nau, D., 2001, "Ontologies for Integrating Engineering Applications," ASME J. Comput, Inf. Sci. Eng., 1(1), pp. 12-22.
23. Urban, S. D., Dietrich, S. W., Saxena, A., and Sundermier, A., 2001, "Inter-connection of Distributed Components: Current Middleware Solutions," ASME J. Comput. Inf. Sci. Eng., 1(1), pp. 23-31.
24. Rangan, R. M., and Chadha, B., 2001, "Engineering Information Management to Support Enterprise Business Processes," ASME J. Comput. Inf. Sci. Eng., 1(1). pp. 32-40.
25. Szykman, S., Sriram, R., and Regli, W. C., 2001, "The Role of Knowledge in Next-Generation Product Development Systems," ASME J. Comput. Inf. Sci. Eng., 1(1), pp. 3-11.
26. Aughenbaugh, J. M., and Paredis, C. J. J., 2005, "The Value of Using Imprecise Probabilities in Engineering Design," ASME DETC Design Theory and Methodology, Long Beach, CA, Report No. DET2005-85354.
27. de Finetti, B., 1937, "La Prevision: Ses Lois Logiques, Ses Sources Subjectives," Ann. Inst. Henri Poincare, 7, pp. 1-68;
28. de Finetti, B., English translation 1964, "Foresight. Its Logical Laws, Its Subjective Sources," Studies in Subjective Probability, H. E. Kyburg and H. E. Smokler, eds., Wiley, New York.
29. Joslyn, C. A., and Booker, J. M., 2005, "Generalized Information Theory for Engineering Modeling and Simulation," Engineering Design Reliability Handbook, E. Nikolaidis, D. M. Ghiocel, and S. Singhal, eds., CRC, New York, pp. 9.1-9.40.
30. Savage, L. J., 1972, The Foundation of Statistics, Dover, New York.
31. Winkler, R. L., 1996, "Uncertainty in Probabilistic Risk Assessment," Reliab. Eng. Syst. Saf., 54(2-3), pp. 127-132.
32. Sarin, R. K., 1978, "Elicitation of Subjective Probabilities in the Context of Decision-Making," Decision Sci., 9, pp. 37-48.
33. Weber, M., 1987, "Decision Making With Incomplete Information," Eur. J. Oper. Res., 28, pp. 44-57.
34. Kmietowicz, Z., and Pearman, A., 1984, "Decision Theory, Linear Partial Information and Statistical Dominance," International Journal of Management Science, 12(4), pp. 391-399.
35. de Finetti, B., 1974, Theory of Probability: A Critical Introductory Treatment, Wiley, New York.
36. Ferson, S., and Donald, S., 1998, "Probability Bounds Analysis," International Conference on Probabilistic Safety Assessment and Management (PSAM4), Springer-Verlag, New York, pp. 1203-1208.
37. Ferson, S., 2002, "Ramas Risk Calc," 4.0 ed., Lewis Publishers, New York.
38. Berger, J. O., 1985, Statistical Decision Theory and Bayesian Analysis, Springer, New York.
39. Schervish, M. J., Seidenfeld, T., Kadane, J. B., and Levi, I., 2003, "Extensions of Expected Utility Theory and Some Limitations of Pairwise Comparisons," in ISIPTA, Lugano, Switzerland.
40. Arrow, K., and Hurwicz, L., 1972, "An Optimality Criterion for Decision-Making Under Ignorance," Uncertainty and Expectations in Economics: Essays in Honour of G. L. S. Shackle, C. Shackle and J. Ford, eds., Basil Blackwell, Oxford, pp. 1-11.
41. Williamson, R. C., and Downs, T., 1990, "Probabilistic Arithmetic I: Numerical Methods for Calculating Convolutions and Dependency Bounds," Int. J. Approx. Reason., 4, pp. 89-158.
42. Ferson, S., and Ginzburg, L., 1996, "Different Methods are Needed to Propagate Ignorance and Variability," Eng. World, 54(2-3), pp. 133-144.