Evaluación de la calidad de software empleando decisión Multicriterio basado en los números de SVN

Autores/as

  • Salah Hasan Saleh Solarplex Electrical and Electronic Company, Fahaheel Mekka St, ALAnoud Complex, Office No. G5, Kuwait
  • Héctor Lara Gavilanez Universidad de las Fuerzas Armadas-ESPE, Quito, Ecuador
  • Juan Carlos Cedeño Escuela Superior Politécnica del Litoral, Guayaquil Ecuador
  • Carlos Banguera Diaz Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil Ecuador
  • Maikel Leyva Vázquez Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil Ecuador

Palabras clave:

Decision Analysis, SVN Numbers, analytic hierarchy process, project selection

Resumen

Neutrosophic sets and its application to decision support have become a topic of great importance. In this paper, a new model for decision making for software quality appraisal is presented based on single valued neutrosophic number (SVN-numbers) and the fuzzy decision map method (FDM). The proposed framework is composed of four activities, framework, criteria weighting, gathering information and rating alternatives. Software alternatives are rated based on aggregation operator and the ranking of alternatives is based on scoring and accu-racy functions. The FDM method is included and allows a correct weighting of different criteria involved. Addi-tionally the common decision resolution scheme for helping decision maker to reach a reliable decision is used giving methodological support t. A case study is developed showing the applicability of the proposal for software quality appraisal. Further works will concentrate in extending the proposal for group decision making and devel-oping a software tool.

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Publicado

2018-06-04

Cómo citar

Evaluación de la calidad de software empleando decisión Multicriterio basado en los números de SVN. (2018). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 3(3), 59-70. https://fs.unm.edu/NCML2/index.php/112/article/view/24

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