The authors deal with multiattribute decision problems, assuming the existence of a utility/cost function, and the possibility of preferentially nonindependent attributes. The aim is to identify a cost fuction, whose structure satisfies the following three basic assumptions: (a) it should allow a certain degree of preferential independence among the attributes; (b) its identification should be through the use of an efficient algorithm; and (c) 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 discussed.
|Data di pubblicazione:||1991|
|Titolo:||A new cost function to solve multi-attribute decision making problems with non separable attributes|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ICSMC.1991.169969|
|Appare nelle tipologie:||4.1 Articolo in Atti di convegno|