Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...

This paper documents a comparative application of algorithms to deal with the problem of missing values in higher frequency data sets. We refer to Swiss business tendency survey (BTS) data which are conducted in both monthly and quarterly frequency, where an information sub-set is collected at...

In the context of multicriteria decision making (MCDM), it is frequently observed that the representation of cognitive information may not always be sufficient using hesitant Pythagorean fuzzy set (HPFS). From this perspective, the interval-valued hesitant Pythagorean fuzzy (IVHPF) set is more...

We study information flows in an organization with a top management (principal) and multiple subunits (agents) with private information that determines the organization's aggregate efficiency. Under centralization, eliciting the agents' private information may induce the principal to manipulate...