Performance of the Multi Attributed Decision-Making Process with Interval-Valued Spherical Fuzzy Dombi Aggregation Operators

Abstract

This article aims to explore the notion of interval-valued spherical fuzzy (IVSF) sets (IVSFS), a modified version of intuitionistic and picture fuzzy sets. Furthermore, we also developed some appropriate operations of Dombi aggregation tools in the light of IVSF information. These aggregation operators are used aggregate several values in a single term. To mitigate the impact of insufficient information during the decision-making process, we developed a class of new approaches under the system of IVSF information, including IVSF Dombi weighted average (IVSFDWA) and IVSF Dombi weighted geometric (IVSFDWG) operators. To reveal the effectiveness and intensity of developed approaches, some notable characteristics are also demonstrated. To resolve complicated real-life situations, an algorithm of the MADM problem is discussed under consideration of IVSF information. We establish a numerical example to select a more realistic optimal option available to individuals. To show consistency and applicability of developed methodologies, influence study and comparative analysis verify by contrasting the results of existing approaches with currently developed AOs.