A framework for PEST analysis based on neutrosophic cognitive map: case study in a vertical farming initiative

Authors

  • Wilmer Ortiz Choez Universidad de Guayaquil, Facultad de Comunicaciòn Social, Guayaquil Ecuador.
  • Marcos Quinteros Cortázar Universidad Católica de Cuenca, Extensión San Pablo de La Troncal,Cuenca Ecuador.
  • Shirley Huerta Cruz Universidad Metropolitana, Escuela Politécnica del Litoral, Guayaquil Ecuador.
  • Katiuska Rubira Carvache Universidad de Guayaquil, Facultad de Ingeniería Química, Guayaquil Ecuador.

Keywords:

PEST,, Neutrosophy,, Neutrosophic Cognitive Maps,, Static Analysis,, Vertical Farming.

Abstract

Abstract. Recently, neutrosophic cognitive maps and its application in decision making have become a topic of great importance for researchers and practitioners alike. In this paper, a new model PEST analysis is presented based on neutrosophic cognitive maps static analysis. The proposed framework is composed of five activities, identifying PEST factors and sub-factors, modeling interrelation among PEST factors, calculate centrality measures, factor classification, and factors ranking. A case study developed in environment analysis for a vertical farming project was presented, ranking factor based in interrelation and incorporating indeterminacy in the analysis. Further works will concentrate extending the model for incorporating scenario analysis

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Published

2017-09-15

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Wilmer Ortiz Choez, Marcos Quinteros Cortázar, Shirley Huerta Cruz, & Katiuska Rubira Carvache. (2017). A framework for PEST analysis based on neutrosophic cognitive map: case study in a vertical farming initiative. Neutrosophic Sets and Systems, 17, 58-63. https://fs.unm.edu/nss8/index.php/111/article/view/674

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