Selection of best enterprise resource planning system by using Hamy mean operator with complex spherical fuzzy information

Abstract

Numerous fuzzy structures have been created and studied up to this point in order to investigate objects under ambiguity. Among them, the structure of complex spherical fuzzy set is significant because it can define the four prospective aspects of an expert's viewpoint using the membership degree, non membership degree, abstinence, and rejection in a two-dimensional space. It is never easy to aggregate information, particularly when the input arguments are connected. In order to handle such situations, the goal of this study is to create the idea of the Hamy mean operator because it integrates data in ambiguous environments and takes into account the relationships between the input arguments. In this manuscript, we investigated the notion of Hamy mean and dual Hamy mean operators in the setup of complex spherical fuzzy sets and described their applications for engineering activities. We created the complex spherical fuzzy Hamy mean (CSFHM) and complex spherical fuzzy Dual Hamy mean (CSFDHM) operators and looked into the validity of each. To assess the effectiveness of the enterprise resource planning (ERP) systems using complex spherical fuzzy data, we created the multi attribute decision making technique based on the CSFHM and CSFDHM operators. The impacts of the related parameters are examined using a numerical example to assess the effectiveness of ERP systems. In comparison to conventional aggregation operators, the recommended aggregated results utilizing CSFHM and CSFDHM operators are observed to be reliable because they consider the interdependence of the input data. The suggested operators are compared in this study as well.