A hybrid approach for requirements prioritization using LFPP and ANN
Автор: Yash Veer Singh, Bijendra Kumar, Satish Chand
Журнал: International Journal of Intelligent Systems and Applications @ijisa
Статья в выпуске: 1 vol.11, 2019 года.
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Requirements prioritization is a most important activity to rank the requirements as per their priority of order .It is a crucial phase of requirement engineering in software development process. In this research introduced a MCDM model for requirements prioritization. To select a best supplier firm of washing machine three important criteria are used. In this proposed model investigation for requirements prioritization, a case study adopted from Ozcan et al using LOG FAHP (Logarithmic fuzzy analytic hierarchy process) and ANN (Artificial Neural Network) based model to choose the best supplier firm granting the highest client satisfaction among all technical aspects. The test was conducted on MATLAB software and result evaluated on fuzzy comparison matrix with three supplier selection criteria based on FAHP and LOGANFIS that shows the decision making outcome for requirements prioritization is better than existing approaches with higher priority.
Requirement Prioritization, SS (Supplier selection), AHP (Analytic hierarchy process), FAHP (Fuzzy analytic hierarchy process), ANN (Artificial Neural Network)
Короткий адрес: https://sciup.org/15016559
IDR: 15016559 | DOI: 10.5815/ijisa.2019.01.02
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