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- W2486213535 abstract "This chapter provides an overview of the STEM method. The STEM method seeks to identify a solution that minimizes the maximum weighted distance from the feasible region to the ideal solution while interactively reducing the size of the feasible region. The feasible region is constricted by having the decision maker successively identify objective functions that can be converted into constraints. In this method, first a payoff table is constructed, which arrays all objective function values obtained when each objective in turn is separately optimized. Then, non-normalized weights are calculated. A problem with the STEM method is that there is always the danger of premature termination, that is, the decision maker may conclude that an acceptable solution has been found without really having a clear conception of the range of other possible non-inferior alternatives. This problem arises out of the absence of any mechanism within the method to insure a representative sampling of the non-inferior set." @default.
- W2486213535 created "2016-08-23" @default.
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- W2486213535 date "1991-01-01" @default.
- W2486213535 modified "2023-09-23" @default.
- W2486213535 title "The STEM Method" @default.
- W2486213535 doi "https://doi.org/10.1016/b978-0-12-449660-6.50018-7" @default.
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