PEST Analysis Based on Neutrosophic Cognitive Maps: A Case Study for Food Industry

Authors

  • Ramona Parraga Alava Facultad de Ciencias Zootécnicas, Universidad Técnica de Manabí, Chone Ecuador Correo
  • José Muñoz Murillo Facultad de Ciencias Zootécnicas, Universidad Técnica de Manabí, Chone Ecuador.
  • Roy Barre Zambrano Pontificia Universidad Católica del Ecuador Sede Manabí, Chone Ecuador. Correo
  • María Isabel Zambrano Vélez Facultad de Cienc ias Zootécnicas, Universidad Técnica de Manabí, Chone Ecuador
  • Maikel Leyva Vazquez Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil Ecuador

Keywords:

PEST, Neutrosophy, Neutrosophic Cognitive Maps, Static Analysis, Food Insustry

Abstract

Neutrosophic cognitive maps and its application in decision making have become a topic of great importance for researchers and practitioners alike.PEST (Political, Economic, Social and Technological), analysis is a precondition analysis with the main functions of the identification of the environment within which and organization or project the operates and providing data and information for enabling the organization to make predictions about new situations and circumstances. In this paper, paper, a new model PEST analysis for food industry is presented based on neutrosophic cognitive maps static analysis. The proposed framework is composed of four activities, identifying PEST factors and sub-factors, modeling interrelation among PEST factors, calculate centrality measures and  classification andranking. A case study is presented food industry environment analysis. Our approach allows ranking of factors based in interrelation and incorporating indeterminacy in the analysis. Further works will concentrate extending the model for incorporating scenario analysis and group decision making.

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Published

2018-09-04

Issue

Section

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

How to Cite

Ramona Parraga Alava, José Muñoz Murillo, Roy Barre Zambrano, María Isabel Zambrano Vélez, & Maikel Leyva Vazquez. (2018). PEST Analysis Based on Neutrosophic Cognitive Maps: A Case Study for Food Industry. Neutrosophic Sets and Systems, 21, 84-92. https://fs.unm.edu/nss8/index.php/111/article/view/304

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