Selection Optimal Livestock Location under Multi-Criteria Decision Making Fuzzy Framework

Abstract

As a primary provider of food resources for humans, the livestock sector is now crucial to achieving the internationally recognized sustainable development goals. General policies are required to direct the cattle business in a sustainable way in terms of the economy, society, and environment. Sustainable development objectives should be included in these strategies, considering unique geographical circumstances and current hazards. The first stage in attaining sustainable growth in the livestock sector is to choose appropriate locations while considering related dangers. This study suggested multi-criteria decision-making (MCDM) methodology for dealing with various conflicting criteria by selecting optimal livestock locations. The MCDM methodology integrated with the trapezoidal fuzzy set to deal with uncertain and vague information. The WASPAS method is used to rank the alternatives. There are 11 criteria, and 10 locations are used in this study. A sensitivity analysis was conducted to show that the results were stable.