Multiple Criteria Decision Making : from Exact to Heuristic Optimization

• Autorzy: Ignacy Kaliszewski , Janusz Miroforidis
• Języki publikacji: EN

Abstrakty

EN

We propose to derive assessments of outcomes to Multiple Criteria Decision Making problems, instead of just outcomes, and carry decision making processes with the former. In contrast to earlier works in that direction, which to calculate assessments have made use of subsets of the efficient set (shells), here we provide formulas for calculations of assessments based on the use of upper and lower approximations (upper and lower shells) of the efficient set, derived by evolutionary optimization. Hence, by replacing shells, which are to be in general derived via optimization, with pairs of upper and lower shells, the need of exact optimization methods can be eliminated from Multiple Criteria Decision Making. (original abstract)

Słowa kluczowe

EN

Decision making; Multiple criteria optimization; Results evaluation; Multiple-criteria decision making

PL

Podejmowanie decyzji; Optymalizacja wielokryterialna; Ocena wyników; Wielokryterialne podejmowanie decyzji

• Czasopismo: Multiple Criteria Decision Making / University of Economics in Katowice
• Rocznik: 2010
• Tom: 5
• Strony: 113--120

Twórcy

autor

Ignacy Kaliszewski

autor

Janusz Miroforidis

Bibliografia

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• Ehrgott M.: Multicriteria Optimization. Springer, 2005.
• Kaliszewski I.: Out of the Mist - Towards Decision-maker-friendly Multiple Criteria Decision Making Support. Eur. J. Oper. Res., 2004, 158, pp. 293-307.
• Kaliszewski I.: Soft Computing for Complex Multiple Criteria Decision Making. Springer, 2006.
• Kaliszewski I.: Multiple Criteria Decision Making: Outcome Assessments with Lower and Upper Shells. Systems Research Institute Report, RB/9/2008.
• Miettinen K.M.: Nonlinear Multiobjective Optimization. Kluwer, Boston 1999.
• Miroforidis J.: Decision Making Aid for Operational Management of Department Stores with Multiple Criteria Optimization and Soft Computing. PhD Thesis, Systems Research Institute, Warsaw, 2010.
• Wierzbicki A.P.: Reference Point Approaches. In: Multicriteria Decision Making - Advances. In: MCDM: Models, Algorithms, Theory and Applications. Eds. T. Gal, Th. Stewart, Th. Hanne. Kluwer 1999.