Development of Complex Linear Diophantine Fuzzy Soft Set in Determining a Suitable Agri-Drone for Spraying Fertilizers and Pesticides
J. Vimala, Ashma Banu Kather Mohideen, Muhammad Haris Saeed, Hamed Alsulami, Aftab Hussain, Muhammad Saeed
Abstract
The global agricultural sector is responsible for fulfilling the food requirements of the increasing population around the globe, alongside contributing to 28% of global employment. Drones are used for effective and efficient spray of fertilizers to reduce labor and the associated costs. Various drones are available in the market, each with pros and cons. The main aim of this paper is to select a suitable drone for spraying fertilizers in agri-land among the various attributes using a novel Complex Linear Diophantine Fuzzy Soft set algorithm. This novel concept is first introduced alongside its fundamental operations like <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\oplus $ </tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\otimes $ </tex-math></inline-formula> . This hybrid structure has the properties of the Complex Linear Diophantine Fuzzy set and soft set. A decision-support system based on Complex Linear Diophantine Fuzzy Soft set was designed and applied on the multi-attribute decision making problem of selecting the best drone for spraying fertilizer on crops.