An Intelligent Fuzzy System Based on the Optimization of Ecological Agriculture Areas

Abstract

Motivated by maintaining the sustainable development of ecological agricultural areas, it is very necessary to optimize them regularly. This is a multi-attribute decision making problem based on Intuitive Fuzzy Sets (IFSs) or Interval Value Intuitionistic Fuzzy Sets (IVIFSs). The existing decision models mainly considered the influence of membership, non membership and hesitation on attributes, but did not consider the numerical characteristics of hesitation degree of an attribute as a whole. To this end, a novel suitable high-performance model is presented. We develop two Multiple Attribute Decision Making (MADM) systems with four sub-models for IFSs and IVIFSs respectively. The sub-models not only investigate the proposed intelligent algorithm but also combine with the existing models, which are proved strictly. Finally, the empirical results of the optimization in sustainable ecological agriculture areas show that the proposed models are competitive, especially when their high hesitation are emerged in IFSs or IVIFSs.