A multi-level linguistic fuzzy decision network hierarchical structure model for crop selection

Abstract

Cultivate the best crop from many suitable crops is a complex process that faces the decision makers (e.g. farmers, their advisors, and others in the agricultural sector). Their goal is to select a crop which maximizes the resource utilization and in the same time ensures the sustainability for natural agricultural resources. Selecting such crop for cultivating among many suitable alternatives crops is a Multiple Criteria Decision Making (MCDM) problem. Since, the selection for the best decision is dependent in many criteria and having dependence and feedback among them. In this paper Linguistic Fuzzy Decision Network (LFDN) method is developed and applied to a real case study to decide the cultivate crop among four crops-namely: Wheat, Corn, Rice, and Fababean w.r.t given multiple criteria.