multi-attribute techniques

Planning and decision-making techniques and mathematical methods, providing optimal solution; But have this ability in under certain conditions and assumptions. Despite the wide range of multi-criteria decisions in the real world, this approach also has its limitations and challenges. There are also procedures to select the appropriate method. Of course, sometimes these procedures are instrumental to remove techniques (to choose the technique). In the present study methodology, comparative located techniques of usual multi-criteria optimization (-that has diverse and many applications in research-) with approach DEA-AP. To use the technique DEA / AP introduction of inputs and outputs is necessary. In the present study, DEA has been modeled in continuous space. Thus, is intended all indicators decision matrix, as output data envelopment analysis models and each of the options of the matrix as a decision-making unit (DMU). The results of this test shows the CCR-AP modeling techniques in a single space has a positive correlation with attribute data with conventional techniques (TOPSIS, VIKOR, PRPMRTHEE and SAW). The correlation in most of its value, is evaluated compared with TOPSIS technique.