Effectiveness of Fuzzy Logic Multiple Attribute Decision Making Approach in Six Sigma Methodology in Software Industry

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© 2020 by IJCTT Journal
Volume-68 Issue-1
Year of Publication : 2020
Authors : Kavyashree N, Dr.Supriya M C
DOI :  10.14445/22312803/IJCTT-V68I1P112

How to Cite?

Kavyashree N, Dr.Supriya M C, "Effectiveness of Fuzzy Logic Multiple Attribute Decision Making Approach in Six Sigma Methodology in Software Industry," International Journal of Computer Trends and Technology, vol. 68, no. 1, pp. 52-57, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I1P101

Abstract
Six sigma is a methodology for enhancing software development system and functional greatness in a software industry. Decision on serious variables choosing in software analysis steps are frequently very critical it place a fundamental aim in proper implementation of six sigma software projects, software productivity improvement in software industry. In software environment involves the inexact, software uncertainty and vague software data. From a case study direction; this article demonstrates a planned approach for choosing of software serious factor of software development breakdown section (failure in software project) at a software company using six sigma methodology and fuzzy logic techniques faced Multi properties decision making model. the above steps we have taking six criteria attribute for choosing of software serious factor for software development breakdown. In this section average time before software failure, is considered to be key identifying criteria. In this article we have computed the weights related to criteria through different techniques such as fuzzy logic TOPSIS method, fuzzy logic VIKOR method, AHP (Analytical Hierarchy Process) approach etc. Software serious factor for breakdown ranking or prioritizing. Our outcomes are very powerful accordance with the perception of software production and software maintenance selection of the software industry.

Keywords
Fuzzy Logic, Six Sigma Methodology, Software Breakdown Criteria, Multiple Attribute Decision Making, Software Industry.

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