Modeling a combination of projects selection system- using the Mahalanobis Taguchi system

A combination of projects selection decision (PCSD) is the main strategy of a company. Simultaneity, the utility of project selection decision is assessed how individual project parameter dimensions are selected and to identify the combination of projects architecture dimensions that are critical for a project combine selection strategy system (PCSS). Conventional researches in project selection decision system, which are focus on computing the present parameters not on searching for a suitable pattern. These studies attempt to generate the optimal selection rule. Nevertheless, studies which show in combination of projects selection decision (CPSD) are scarce. From literatures finding that the Mahalanobis-Taguchi system (MTS) algorithm is successful and effective for data-mining pattern recognition. Therefore, this work presents the MTS algorithm, which offers to the new application on combination of projects selections.