Goicoechea Ambrose, Hansen Don R., Duckstein Lucien. Multiobjective Decision Analysis with Engineering and Business Applications. Wiley, 1982.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....is processed, in general, by standardizing its values, setting weights (or sometimes utilities) to each index, and then selecting the alternative which has the highest weighted sum of indices. The choice of the proper weights is a topic largely discussed by the literature on multi criteria choice [11][20] 26] and implies the explicit quantification of the user s preferences. Programs implementing a series of suggestions for weight selection are already available [8] 19] and thus this point has been left to the user, who can implement various approaches through the facilities offered by the ....

A. Goicoechea, D. R. Hansen, and L. Duckstein. Multiobjective Decision Analysis with Engineering and Business Applications. John Wiley, New York, 1982.

....achieved between the three main sets of objectives: ecological, economic and social. Each of these three sets constitutes a larger subset of specific objectives. The quantification and evaluation of the objectives and their associated trade offs are the main tasks of multi objective analysis tools (Goicoechea et al. 1982). One of the 27 possible ways for dealing with the complexity of sustainable flood management is a modified multi objective framework. It requires definition of objectives for all stakeholders. Application of this formulation produces a set of nondominated solutions, as opposed to a single ....

Goicoechea, A., Hansen, D.R., and Duckstein, L., Multiobjective Decision Analysis with Engineering and Business Applications, John Wiley and Sons, New York, USA, 1982.

....of a method based on objective weighting (Hwang and Masud, 1979) As the name suggests, the cost function is formulated as a weighted sum of the objectives: F ws (x) n X i=1 w i f i (x) where n is the number of objectives, and the weights w i are positive constants. It can be easily shown (Goicoechea et al. 1982, p. 46) that, for any set of positive 1 When maximization is assumed, the cost function is referred to as utility function. CHAPTER 3. MULTIOBJECTIVE OPTIMIZATION 44 Decreasing cost f 2 f 1 Figure 3.4: Lines of equal cost induced by the weighted sum approach. weights, the (global) optimum ....

....points is the closest to a solution for the problem. On the other hand, problems characterized by soft objectives only are often reformulated as (single objective) constrained optimization problems in order to be solved. The goal attainment method, described earlier, and the # constraint method (Goicoechea et al. 1982, p. 55#) are good examples of this. 3.4 Visualization and performance assessment issues The remainder of this chapter will be concerned with the graphical visualization of trade o# data, i.e. of one or more sets of relatively non dominated solutions produced by as many runs of a general ....

Goicoechea, A., Hansen, D. R., and Duckstein, L. (1982). Multiobjective Decision Analysis with Engineering and Business Applications. John Wiley and Sons, New York.

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Goicoechea Ambrose, Hansen Don R., Duckstein Lucien. Multiobjective Decision Analysis with Engineering and Business Applications. Wiley, 1982.

No context found.

Goicoechea, Ambrose Don R. Hansen, and Lucien Duckstein. Multiobjective Decision Analysis with Engineering and Business Applications. New York: John Wiley & Sons, 1982.

No context found.

A. Goicoechea, D. R. Hansen, and L. Duckstein, Multiobjective Decision Analysis with Engineering and Business Applications. New York: John Wiley and Sons Inc., 1982.

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