RECOGNIZING LEAN SIX SIGMA SOFTWARE PROJECT MANAGER BY FUZZY METHODOLOGY IN SOFTWARE INDUSTRY

The main objective of this research is to design a structure for Identifying Lean Six Sigma Software Manager among software professionals by Fuzzy Sets. Researchers investigated that the software management of six sigma software projects and software management’s dedication are important for the deterrence of failure of them. Because the problem of identification of lean six sigma manager has several and differing conditions, this is MCDM (Multiple criteria Decision Making) software problem. Geometric structure of trapezoidal interval FAHP (Fuzzy Analytical Hierarchy Process) technology. This is several times used techniques, is applied for software company manager identification, membership functions of fuzzy sets. It provides additional degrees of freedom that make it possible to directly model uncertainties. There is no study about the selection of lean six sigma software manager in suitable literature. Software Company is one of the most important sectors for jobs all over the world. Some software companies are contacted and studied their software processes carefully. In Lean Six Sigma Software manager identification process, there are multiple criteria to consider and many candidates. In order to put those software development criteria in numerical presentation and ranking, Fuzzy Analytical Hierarchy Process (FAHP) is a widely used Multi Criteria Decision Making (MCDM) tool. In this article, the planned criteria are Software Project Development Team Leadership-PC1, Software Project Development Sectoral Expertise-PC2, Personal and Software Project Development Environmental Analysis Capability- PC3,Software Training andEducation-PC4. Key Words: Software Manager Selection; Fuzzy Analytical Hierarchy Process; Lean six sigma; Multi criteria Decision Making ; Software Development Processes