Abstract
This chapter presents the decision process scheme, its principal phases and also introduces the generic idea of decision problem solving. The idea of the scheme is to repeat the principal phases of the process in cycles, till the DM concludes that among variants identified in the decision process, one variant can be regarded, in his/her opinion, as the most preferred variant.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The scheme presented here draws from works of Herbert Simon, the American economist and sociologist, the laureate of the Turing Prize in 1975 and the Nobel Prize in 1978.
References
Ehrgott, M., 2005. Multicriteria optimization. Springer.
Kaliszewski, I., 1994. Quantitative Pareto Analysis by Cone Separation Technique. Kluwer Academic Publishers, Boston.
Kaliszewski, I., 2006. Soft computing for complex multiple criteria decision making problems. Springer.
Köksalan, M., Wallenius, J., Zionts S., 2011. Multiple Criteria Decision Making From Early History to the 21st Century. World Scientific.
Miettinen, K.M., 1999. Nonlinear multiobjective optimization. Kluwer Academic Publishers.
Wierzbicki, A.P., (1999), Reference point approaches. In: Multicriteria Decision Making – Advances in MCDM: Models, Algorithms, Theory and Applications. Gal T., Stewart Th., Hanne Th. (Eds.) Kluwer Academic Publishers.
Yu, P.L., Leitman, G., 1974. Compromise solutions, domination structures and Salukvadze’s solution. Journal of Optimization Theory and Applications, 14, 362–378.
Author information
Authors and Affiliations
2.1 Electronic Supplementary Material
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Kaliszewski, I., Miroforidis, J., Podkopaev, D. (2016). Solving Decision Problems. In: Multiple Criteria Decision Making by Multiobjective Optimization. International Series in Operations Research & Management Science, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-32756-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-32756-3_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32755-6
Online ISBN: 978-3-319-32756-3
eBook Packages: Business and ManagementBusiness and Management (R0)