Abstract: The ranking of interval-valued intuitionistic fuzzy sets (IvIFSs) is difficult since they include the interval values of membership and nonmembership. This paper proposes ranking functions ...

Have you ever found yourself frustrated by Excel’s inability to handle ties in rankings without creating gaps in the sequence? Imagine analyzing employee salaries or sales performance, only to ...

This article investigates the theoretical relation between loss criteria and the optimal ranking functions driven by the criteria in bipartite ranking. In particular, the relation between area under ...

In this paper two theories of defeasible reasoning, Pollock's account and my theory of ranking functions, are compared, on a strategic level, since a strictly formal comparison would have been ...

Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances in alternative ...

Web search systems often rely on a fast, simple ranking stage (e.g. BM25, Query Likelihood, learned sparse models like DeepImpact or DocT5Query) to generate candidate documents before applying heavier ...

RANK() Assigns a unique rank to each row based on the specified order. If there are duplicate values, it skips ranks for subsequent rows. The ranking sequence contains gaps after duplicate ranks.

Abstract: Context-based literature digital library search is a new search paradigm that creates an effective ranking of query outputs by controlling query output topic diversity. We define contexts as ...