| Autor: |
Alava, Ramona Parraga, Murillo, José Muñoz, Zambrano, Roy Barre, Vélez, María Isabel Zambrano, Vázquez, Maikel Leyva |
| Předmět: |
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| Zdroj: |
Neutrosophic Sets & Systems; 2018, Vol. 21, p84-92, 9p |
| Abstrakt: |
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 mam 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, 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 factor classification andranking. A case study is presented for food industry environment analysis. Our approach allowsranking 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 [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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