Abstract
In the era of the knowledge-based economy, the active branch of information technology plays a crucial role. The enterprise administration covers efficient changes, and it has been entered in the age of reasonable management argument. The standard enterprise financial review evaluation centers on the importance of bondholders. The investor takes operational data as an issue and pays surveillance to the study of material attraction and the result. Otherwise, it is not intelligent to adjust in a modern marketplace period. Therefore, enterprise financial directing the interests of shareholders and business policies that are taking into account stakeholders’ needs is continually investigated in the future lively competition. In that view, accumulating data is an essential research tool to draw the researchers’ recent attention during the knowledge investigation. In this research, multiple attribute decision-making (MADM) approach has been proposed for the enterprise financial performance evaluation. To this view, financial performance evaluation has been done with intuitionistic fuzzy arguments. We apply new Dombi hybrid operators such as the intuitionistic fuzzy Dombi hybrid average (IFDHWA) operator and intuitionistic fuzzy Dombi hybrid geometric (IFDHWG) operator. These operators have a good advantage of adaptability in the working parameter. Finally, a realistic instance for enterprise financial performance is reported following comment on the benefit or utility of the recommended output.
Highlights
Financial control is an integral part of administration examination which shows how companies exploit proper approaches to generate and keep up reasonable dominance
Some research studies [51, 52] are developed based on Dombi norms in the different uncertain fuzzy environment, and hybrid aggregation operators [53, 54] in intuitionistic ambiguous environment have been motivated to study the proposed work. ey are gripping in mind that the IFS has a powerful technique to model the vague and imprecise knowledge that appears in real-world problems. e decision-making problems in a complex fuzzy environment under Dombi operations present sufficient motivation to improve our present paper. e central object of this paper is to develop an multiple attribute decision-making (MADM) approach based on intuitionistic Dombi hybrid operators. e objectives of this paper are as follows: A new approach is developed in connecting with intuitionistic fuzzy Dombi hybrid operators e proposed operators are utilized for IFMADM approach
Enterprise financial performance of five possible enterprises Qφ (φ 1, 2, . . . , 5) is evaluated using IFS data by the DMs under the intuitionistic fuzzy Dombi hybrid weighted averaging (IFDHWA) and intuitionistic fuzzy Dombi hybrid weighted geometric (IFDHWG) operators in which triangular Dombi norms are used which have a good advantage of flexibility for the operation of working parameter (0.2, 0.1, ρ based 0.3, 0.4)T, on for
Summary
Financial control is an integral part of administration examination which shows how companies exploit proper approaches to generate and keep up reasonable dominance. Many tremendous works have been developed in the IFS environment, such as De et al [13] defined operation on IFSs, Szmidt and Kacprzyk [14] measured the similarity between IFSs, and Guo and Song [15] proposed entropy between IFSs. It is generally seen that the theory of IFSs is used to manage the MAGDM issues and clustering algorithms for economic risk evaluation utilizing MCDM procedures [16], Li et al [17] introduced an MADM method using Hassdrof’s distance measure generalized fuzzy numbers, Garg [18] proposed a generalized improved score function of IVIFSs and applied it in expert systems, and Chen and Chiou [19] solved MADM problems based on IVIFSs using PSO procedures and evidential logic methodology.
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