Cognitive Virtual Exploration for Optimization Model Reduction
In this paper, a decision aid method for preoptimization
is presented. The method is called “negotiation", and it
is based on the identification, formulation, modeling and use of
indicators defined as “negotiation indicators". These negotiation
indicators are used to explore the solution space by means of a classbased
approach. The classes are subdomains for the negotiation
indicators domain. They represent equivalent cognitive solutions in
terms of the negotiation indictors being used. By this method, we
reduced the size of the solution space and the criteria, thus aiding the
optimization methods. We present an example to show the method.
[1] G. Pahl, W.Beitz, K. Wallace, L.T.M. Blessing, F. Bauert, Engineering
Design. London, UK: Springer Verlat, 2005, ch. 3.
[2] B. Kirwan, A Guide to Task Analysis. Cumbria, UK: CRC Press, 1992
(abstract).
[3] K. Otto, K. Wood, Product Design: Techniques in Reverse Engineering
and New Product Development. New Jersey, USA: Prentice Hall Press.
2001, ch. 5.
[4] J.A. Shupe, D. Muster, J.K. Allen, F. Mistree, "Decision-based design:
Some Concepts and Research Issues", Expert Systems, Strategies and
Solutions in Manufacturing Design and Planning, pp. 3-37, 1988.
[5] G. Hazelrigg, "A Framework for Decision-Based Engineering Design",
ASME Journal of Mechanical Design, vol. 120, 1998.
[6] H.W. Stoll, Product Design Methods and Practices. New York, USA:
Marcel Dekker Press, 1999, ch. 4.
[7] R.L. Keeney, H. Raiffa, Decisions with Multiple Objectives. Cambridge,
USA: Cambridge University Press, 1993, ch. 5, 6.
[8] J.R. Hauser, G.L. Urban. "Assessment of Attribute Importance and
Consumer Utility Functions: vonNeumann-Morgensten Theory Applied
to Consumer Behaviour". Journal of Consumer Research vol. 5, March
1979, pp 251-262.
[9] J. Eliashberg. "Consumer Preference, Judgements: An Exposition with
Empirical Applications." Management Science, vol. 25, January 1980,
pp 60-76.
[10] J. VonNeumman, O. Morgenstern. Theory of Games and Economic
Behaviour. New Jersey, USA: University Press, 1944.
[11] S. Pugh. Total Design: Integrated Methods for Succesful Product
Engineering. Workingham, UK: Addison-Wesley, 1991.
[12] T. Saaty. The Analytical Hierarchy Process. New York, USA: McGraw-
Hill, 1980.
[13] G. Taguchi, Introduction to Quality Engineering. Michigan, USA:
American Supplier Institute, Inc., 1986.
[14] N. Suh, The principles of design. New York, USA: Oxford University
Press, 1990
[15] J. Wang, J. Terpenny. "Interactive evolution solution synthesis in fuzzy
based preliminary engineering design." Journal of Intelligent
Manufacturing, vol. 14, October 2003, pp 153-167.
[16] B. Jiang, C.H. Hsu. "Development of a fuzzy decision model for
manufacturing evaluation." Journal of Intelligent Manufacturing, vol.
14, October 2003, pp. 169-181.
[17] J. M. Mendel, H. Wu. "Uncertainty versus Choice in rule-based Fuzzy
logic systems." Proceedings of the 2002 IEEE International Conference
on Fuzzy Systems, vol. 2, pp. 1336-1341, May 2002.
[18] D. Scaravetti, J.P. Nadeau, P. Sebastian, J. Pailhes. "Aided decisionmaking
for an embodiment design problem." International Conference
on Integrated Design and Manufacturing in Mechanical Engineering,
April 2004.
[19] A. Olewnik, K. Lewis. "On Validating Design Decision Methodologies."
ASME International Design Engineering Technical Conference, Sept.
2003.
[20] L.-K. Chan, M.-L. Wu. "Quality Function Deployment: A Literature
review." European Journal of Operational Research, vol. 143, pp. 463-
497, January 2002.
[21] T.A. Bahill. "The preferred alternative in a trade-off study often depends
on the technique used." IEEE International Conferenc on Systems, Man,
and Cybernetics, vol. 3, pp- 2556-2561, October, 1998.
[22] C. Eden, F. Ackermann. "The role of GDSS in scenario development
and strategy making." String Processing and Information Retrieval
Symposium, pp. 234-242, September, 1999.
[23] F.R. Fernandez, S. Nickel, J. Puerto, A.M. Rodriguez-Chia.
"Robustness in the Pareo-solutions for the multi-criteria minisum
location problem." Journal of Multicriteria Decision Analysis, vol. 10,
pp. 191-203, November, 2001.
[24] I.Y., Kim, O.L. Weck. "Adaptive weighted-sum method for bi-objective
optimization." Journal of Structural and Multidisciplinary Optimization,
vol. 29, pp. 149-158, February, 2004.
[25] R.M. Smaling, O.L. de WECK. "Fuzzy Pareto Frontiers in
Multidisciplinary System Architecture Analysis." 10thAIAA/ISSMO
Multidisciplinary Analysis and Optimization Conference, August, 2004.
[26] A. Gumani, S. Ferguson, J. Donndelinger. "Feasibility Assesement in
preliminary Design using Pareto Sets." ASME International Design
Engineering Technical Conference, September, 2005.
[1] G. Pahl, W.Beitz, K. Wallace, L.T.M. Blessing, F. Bauert, Engineering
Design. London, UK: Springer Verlat, 2005, ch. 3.
[2] B. Kirwan, A Guide to Task Analysis. Cumbria, UK: CRC Press, 1992
(abstract).
[3] K. Otto, K. Wood, Product Design: Techniques in Reverse Engineering
and New Product Development. New Jersey, USA: Prentice Hall Press.
2001, ch. 5.
[4] J.A. Shupe, D. Muster, J.K. Allen, F. Mistree, "Decision-based design:
Some Concepts and Research Issues", Expert Systems, Strategies and
Solutions in Manufacturing Design and Planning, pp. 3-37, 1988.
[5] G. Hazelrigg, "A Framework for Decision-Based Engineering Design",
ASME Journal of Mechanical Design, vol. 120, 1998.
[6] H.W. Stoll, Product Design Methods and Practices. New York, USA:
Marcel Dekker Press, 1999, ch. 4.
[7] R.L. Keeney, H. Raiffa, Decisions with Multiple Objectives. Cambridge,
USA: Cambridge University Press, 1993, ch. 5, 6.
[8] J.R. Hauser, G.L. Urban. "Assessment of Attribute Importance and
Consumer Utility Functions: vonNeumann-Morgensten Theory Applied
to Consumer Behaviour". Journal of Consumer Research vol. 5, March
1979, pp 251-262.
[9] J. Eliashberg. "Consumer Preference, Judgements: An Exposition with
Empirical Applications." Management Science, vol. 25, January 1980,
pp 60-76.
[10] J. VonNeumman, O. Morgenstern. Theory of Games and Economic
Behaviour. New Jersey, USA: University Press, 1944.
[11] S. Pugh. Total Design: Integrated Methods for Succesful Product
Engineering. Workingham, UK: Addison-Wesley, 1991.
[12] T. Saaty. The Analytical Hierarchy Process. New York, USA: McGraw-
Hill, 1980.
[13] G. Taguchi, Introduction to Quality Engineering. Michigan, USA:
American Supplier Institute, Inc., 1986.
[14] N. Suh, The principles of design. New York, USA: Oxford University
Press, 1990
[15] J. Wang, J. Terpenny. "Interactive evolution solution synthesis in fuzzy
based preliminary engineering design." Journal of Intelligent
Manufacturing, vol. 14, October 2003, pp 153-167.
[16] B. Jiang, C.H. Hsu. "Development of a fuzzy decision model for
manufacturing evaluation." Journal of Intelligent Manufacturing, vol.
14, October 2003, pp. 169-181.
[17] J. M. Mendel, H. Wu. "Uncertainty versus Choice in rule-based Fuzzy
logic systems." Proceedings of the 2002 IEEE International Conference
on Fuzzy Systems, vol. 2, pp. 1336-1341, May 2002.
[18] D. Scaravetti, J.P. Nadeau, P. Sebastian, J. Pailhes. "Aided decisionmaking
for an embodiment design problem." International Conference
on Integrated Design and Manufacturing in Mechanical Engineering,
April 2004.
[19] A. Olewnik, K. Lewis. "On Validating Design Decision Methodologies."
ASME International Design Engineering Technical Conference, Sept.
2003.
[20] L.-K. Chan, M.-L. Wu. "Quality Function Deployment: A Literature
review." European Journal of Operational Research, vol. 143, pp. 463-
497, January 2002.
[21] T.A. Bahill. "The preferred alternative in a trade-off study often depends
on the technique used." IEEE International Conferenc on Systems, Man,
and Cybernetics, vol. 3, pp- 2556-2561, October, 1998.
[22] C. Eden, F. Ackermann. "The role of GDSS in scenario development
and strategy making." String Processing and Information Retrieval
Symposium, pp. 234-242, September, 1999.
[23] F.R. Fernandez, S. Nickel, J. Puerto, A.M. Rodriguez-Chia.
"Robustness in the Pareo-solutions for the multi-criteria minisum
location problem." Journal of Multicriteria Decision Analysis, vol. 10,
pp. 191-203, November, 2001.
[24] I.Y., Kim, O.L. Weck. "Adaptive weighted-sum method for bi-objective
optimization." Journal of Structural and Multidisciplinary Optimization,
vol. 29, pp. 149-158, February, 2004.
[25] R.M. Smaling, O.L. de WECK. "Fuzzy Pareto Frontiers in
Multidisciplinary System Architecture Analysis." 10thAIAA/ISSMO
Multidisciplinary Analysis and Optimization Conference, August, 2004.
[26] A. Gumani, S. Ferguson, J. Donndelinger. "Feasibility Assesement in
preliminary Design using Pareto Sets." ASME International Design
Engineering Technical Conference, September, 2005.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:54636", author = "Livier Serna and Xavier Fischer and Fouad Bennis", title = "Cognitive Virtual Exploration for Optimization Model Reduction", abstract = "In this paper, a decision aid method for preoptimization
is presented. The method is called “negotiation", and it
is based on the identification, formulation, modeling and use of
indicators defined as “negotiation indicators". These negotiation
indicators are used to explore the solution space by means of a classbased
approach. The classes are subdomains for the negotiation
indicators domain. They represent equivalent cognitive solutions in
terms of the negotiation indictors being used. By this method, we
reduced the size of the solution space and the criteria, thus aiding the
optimization methods. We present an example to show the method.", keywords = "Optimization Model Reduction, Pre-Optimization,Negotiation Process, Class-Making, Cognition Based VirtualExploration.", volume = "2", number = "1", pages = "18-9", }
