On Selection of the Efficient Water Purification Strategy at Commercial Scale Using Complex Intuitionistic Fuzzy Dombi Environment

The primary objective of the water purification process is to remove harmful chemical compounds and microorganisms from sources in order produce suitable for human consumption. Water satisfies demand drinkable water, which a requirement many industries, including medical, pharmaceutical, among others. Access purified single most important factor determining nation’s strength prosperity. As consequence, researchers all over world are investigating wide variety potential strategies improving preserving supply. In this paper, we present findings our research into possible strategy purifying accessibility areas prone drought. This article presents concepts complex intuitionistic fuzzy Dombi weighted averaging (CIFDWA) operator, ordered (CIFDOWA) geometric (CIFDWG) (CIFDOWG) operator (CIF) settings. addition, investigate several key features these operators. Moreover, introduce an improved score function overcome deficiencies existing under CIF knowledge. Furthermore, effectively apply proposed newly defined operators select best technique at commercial scale. Additionally, establish comparative analysis show validity feasibility techniques compared methods.