Titlebook: Essays and Surveys on Multiple Criteria Decision Making; Proceedings of the F Pierre Hansen Conference proceedings 1983 Springer-Verlag Ber

climax

Multiple Objective Linear Programming and the Theory of the Firm: I. Substitution and Sensitivity As. Feasible and nondominated values of the objective functions in the problem are characterized by means of a polyhedral cone which is dual to the cone generated by the problem data. The generators of extreme rays of the dual cone give rise to a collection of hyperplanes and their associated halfspa

Condyle

An Algorithm for Choosing of a Multiobjective Technique, arbitrary multiobjective decision problem, is considered. Classifications of the available techniques are discussed, leading to the development of a set of 28 model choice criteria and an algorithm for model choice. This algorithm divides the criteria into four groups, only one of which must be ree

欢笑

phlegm

fallible

EXCEL

翅膀拍动

Multiple Criteria Optimization Using Analytic Hierarchies and Holistic Preferences, to quantify such criteria. Then Ho’s method of holistic preference evaluation is used in the optimization. In the descriptive mode, this approach may be useful in the study of cognitive decision processes. As an example a case study of a consumer’s choice in product mix is presented.

美食家

分开如此和谐

Principles for Solving Sequential Multiple Criteria Decision Problems, decision alternatives simultaneously. If the decision maker evaluates only a subset of all decisions from among which he chooses the most preferred alternative, it is not necessarily ‘globally‘ best. In this context an interesting question is, how good the most preferred alternative is and what the

fatty-streak