Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem.

ABSTRACT: In agriculture, crop planning and land distribution have been important research subjects. The distribution of land involves several multi-functional tasks, such as maximizing output and profit and minimizing costs. These functions are influenced by a variety of uncertain elements, including yield, crop price, and indeterminate factors like seed growth and suitable fertilizer. In order to address this problem, other researchers have used fuzzy and intuitionistic fuzzy optimization approaches, which did not include the indeterminacy membership functions. However, the neutrosophic optimization technique addresses the problem by using individual truth, falsity, and indeterminacy membership functions. So, to improve the optimal solution, the Neutrosophic Goal Programming (NGP) problem with hex

SUBMITTER: Angammal S 

PROVIDER: S-EPMC11405532 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature