Artificial neuro-fuzzy system for the formulation of guidelines in the process of formulating public policies to promote agricultural employment in Colombia

Abstract

Concerning sustainable objectives, governments face the challenge of revitalizing rural areas and the reduction of poverty in population. Therefore, promoting dignified and decent agricultural employment in rural areas would solve these situations. For this reason, this document aims to determine the main guidelines for formulating public agricultural employment policies in Colombia. Understanding that the public policy formulation process is highly complex, and that the use of artificial intelligence tools can be useful to reduce the associated uncertainty and would help obtain a successful solution, this research employs the Artificial Neuro-Fuzzy Inference Systems (ANFIS) technique. A review of previous works was carried out and the computational model was designed and implemented. Besides artificial intelligence, statistical tools and qualitative analysis were also utilized. It was concluded that for high percentages of agricultural employment in the departments, it is necessary to improve the education levels of the rural population to increase income from agricultural jobs, reduce verbal contracting, and the degree of uncertainty of the contract duration. Thus, the use of ANFIS systems can be helpful in the process of formulating agricultural public policies.