جستجوی مقالات مرتبط با کلیدواژه « fuzzy » در نشریات گروه « اقتصاد کشاورزی »

In the science of botany, the classification of plants is very important. Classification is also an effective way of organizing data, helps us to understand plants better, and get more information about them. By classifying plants, we can identify more patterns and relationships between species. This information helps us in choosing the best methods of growing and maintaining plants. Knowledge of various properties and characteristics of plants is essential for classification. The multiplicity of effective features in classification makes it more accurate. But the increase of parameters challenges the decision maker and the role of uncertainty in decision-making becomes prominent. To manage uncertainty, a flexible structure is needed. In this article, a flexible structure for classification of flowering plants is presented using granular calculations based on Pythagorean fuzzy. Reviewing and comparing the classification of iris flowers based on the presented model with intuitive classification shows that the proposed model has an acceptable accuracy in the clustering of flowering plants.

Food security, supply chains, and food safety have all been affected by the Covid-19 pandemic. The social, economic, and health problems caused by the Covid-19 pandemic posed a direct threat to global life and well-being. The present study aims to identify the factors that influence sustainable development in the agricultural sector, with a particular emphasis on health aspects and critical situations (Covid-19 pandemic). First, the factors influencing sustainable development in the agricultural sector have been identified using the Grounded Theory technique and a thematic literature review. In the second stage, 20 experts in the economy, promotion, and sustainability of agriculture were interviewed using 17 questions to identify the variables that impact sustainable development in the agricultural sector, focusing on health factors and critical circumstances (COVID-19 pandemic). In the third step, the research's final criteria and sub-criteria were determined using the fuzzy Delphi technique and expert opinion. Then, using the fuzzy DEMATEL approach, the internal relationships, influence, and impact of the health factor criteria, critical conditions, and environmental, economic, and social conditions were determined. The results of the study indicate that among the sub-criteria of health, social, economic, environmental factors, and crisis situations, the sub-criteria of providing sustainable financial resources in the health sector, the degree of farmer personal development, facilitating the export of agricultural products in critical conditions, and the status of managing medical waste for Covid-19 and natural disaster have the greatest influence.