The phrase "aggregation operation" is correct and usable in written English.
It is typically used in contexts related to data processing, computer science, or mathematics, referring to a process that combines multiple elements into a single result.
Example: "The aggregation operation in this database query will sum all the sales figures for the specified period."
Alternatives: "data aggregation" or "combining operation".
The rules are disjunctive, so the aggregation operation 'max' results in an aggregated membership function that comprises the outer envelope of the individual truncated membership forms for each rule.
Theoretical analyses and simulations show that the scheme greatly improves the efficiency of the data aggregation operation by reducing both message and time costs compared to rebuilding the aggregation tree and rescheduling the entire network.
T. J. Stiles, the Pulitzer Prize-winning author of "The First Tycoon: The Epic Life of Cornelius Vanderbilt," who is on the executive council of the Authors Guild, said of the speaker series: "That's Google focusing on authors, not just addressing books as the subject of an information aggregation operation.
The aims of this study were (1) to classify collected Kansei words into a set of Kansei attributes by using cluster analysis based on fuzzy relations; (2) to model Kansei preferences based on semantic labels for the priority analysis; and (3) to synthesize priority information and rank the order of decision alternatives by means of the linguistic aggregation operation.
More details about the aggregation operation are given in Section 3.2.
Formally, each aggregation operation on n fuzzy sets is defined by a function h: Open image in new window (1).
Top-k queries are desired aggregation operations on datasets.
This paper presents a compendium of frameworks and methods we have developed to support efficient execution of subsetting and aggregation operations in applications that query and manipulate large, multi-dimensional datasets in parallel and distributed computing environments.
The advanced features provided by these communication trees, like programmable filters and configurable topologies, allow developers to create more flexible solutions of efficient reduction and aggregation operations for parallel debugging.
With the aid of the results of the single period decision making, we analyze three aggregation operations of IFDTRSs for multi-period information, which are DIFWA, DIFPA and DIFOA, respectively.
In fuzzy set theory, various kinds of aggregation operations are identified [21, 47].
