An Improved Interactively Fuzzy Satisfying Degree Method for Multi-objective Decision Making

摘要

To improve the traditional algorithm on multi-objective decision-making, an improved objective method of weighting and interactively algorithm are presented in this paper. In order to effectively handle the weights of every objective, a performance table with ideal solution of every objective is set up. Every objective value is transformed into the close degree comparing with the ideal project. In terms of the algorithm, firstly, a definition of the satisfying degree is given, which is a modified definition by the membership function of fuzzy theory. Secondly, to get the best compromise solution of this multi-objective decision-making, the evaluation functions among the objectives are denoted by distance measure, then a single objective programming that is confined by the satisfying degree is gained equivalent from the evaluation function.