SMART TECHNOLOGIES FOR WATER SEWAGE SYSTEMS AND DECISION-MAKING WITH CIRCULAR SPHERICAL FUZZY FRAMEWORK

Abstract

This work aims to improve decision-making (DM) processes by utilizing the circular spherical fuzzy set (Cr-SFS), a flexible structure for managing uncertain human opinions. This paper presents a new class of AOs, such as the circular spherical fuzzy Dombi weighted averaging (Cr-SFDWA), Circular spherical fuzzy Dombi weighted geometric (Cr-SFDWG), circular spherical fuzzy Dombi order weighted average (Cr-SFDOWA) and circular spherical fuzzy Dombi order weighted geometric (Cr-SFDOWG) operators which are specially designed for Cr-SF information systems. These operators' realistic qualities and exceptional cases are clarified, emphasizing how well they fit into real-world situations. A novel methodology for MADM is applied to various real-world applications with varying needs or features. An example of an AI selection process in a water sewage system is provided to show the effectiveness of the suggested methodologies. Moreover, a comprehensive comparison method is presented to illustrate the effectiveness and relevance of proposed aggregation strategies by comparing their outcomes with those of the existing approaches. The study is accomplished with a summary of its findings and a discussion of its prospects as we advance, highlighting the potential contribution of the suggested research to the advancement of decision-making techniques in dynamic and complex environments.