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A new cost function to solve multi-attribute decision making problems with non separable attributes
The authors deal with multi-attribute decision problems, assuming the existence of a utility/cost function, and the possibility of preferentially nonindependent attributes. The aim is to identify a cost function, whose structure satisfies the following three basic assumptions: it should allow a certain degree of preferential independence among the attributes; its identification should be through the use of an efficient algorithm; and it should reflect the decision maker's behavior. An algorithm to determine the optimal cost function, when this function is positive semi-definitive quadratic or multilinear Hessian, is discusse
Minimization of the time spent in the system by passengers in underground railway systems
Minimizing the customers mean flow time in simple queue networks: upper and lower bounds
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