On T-Spherical Fuzzy Hypersoft Sets and Their Aggregation Operators with Application in Soft Computing

Abstract

In the decision sciences problems, systematic evaluation of information containing incompleteness and impreciseness having the feature of parametrization is one of the substantial features. In the present communication, a new notion of T-spherical fuzzy hypersoft set (TSFHSS) has been introduced which contains an additional capacity of accommodating the components of neutral membership (abstain) and refusal compared to intuitionistic fuzzy hypersoft set under the sub-parametrization in an exponential way. Some of the basic operations on T-spherical fuzzy hypersoft set and some important aggregation operators have been presented and studied in detail. Further, in order to exhibit an application in the field of soft computing, the selection problem of COVID-19 mask has been numerically illustrated with some advantageous and concluding remarks.