基于嗜中性认知图的PEST分析框架:垂直农业项目的案例研究

Q1 Mathematics Neutrosophic Sets and Systems Pub Date : 2017-09-01 DOI:10.5281/ZENODO.1012211
Wilmer Ortiz Choez, Marcos Quinteros Cortázar, S. H. Cruz, Katiuska Rubira Carvache
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引用次数: 6

摘要

摘要近年来,嗜中性认知图及其在决策中的应用已成为研究人员和实践者关注的热点。本文提出了一种基于中性粒细胞认知图谱静态分析的新型PEST分析模型。该框架包括识别PEST因子和子因子、建模PEST因子之间的相互关系、计算中心性测度、因子分类和因子排序五项活动。本文介绍了一个垂直农业项目环境分析的案例研究,根据相互关系对因素进行排序,并将不确定性纳入分析。进一步的工作将集中于扩展模型以纳入情景分析
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A framework for PEST analysis based on neutrosophic cognitive map: case study in a vertical farming initiative
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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来源期刊
Neutrosophic Sets and Systems
Neutrosophic Sets and Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
4.50
自引率
0.00%
发文量
0
审稿时长
7 weeks
期刊介绍: Neutrosophic Sets and Systems (NSS) is an academic journal, published bimonthly online and on paper, that has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics etc. and their applications in any field.
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