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For real decision-making problems, aggregating the attributes which have interactive or correlated characteristics by traditional aggregation operators is unsuitable. Thus, applying Choquet integral operator to approximate and simulate human subjective decision-making process, in which independence among the input arguments is not necessarily ...

By choosing different W one can implement different aggregation operators. The OWA operator is a non-linear operator as a result of the process of determining the b j . Properties [ edit ]

Abstract. We proposed an aggregation operator which is used to aggregate decision makers' opinions in group decision making process. First, a Choquet integral-based distance between generalized interval-valued trapezoidal fuzzy numbers is defined.

Aggregation Operators and Commuting Susanne Saminger, Radko Mesiar, and Didier Dubois Abstract—Commuting is an important property in any two- step information merging procedure where the results should not depend on the order in which the single steps are preformed. We investigate the property of commuting for aggregation operators in connection with their relationship to bisymmetry. …

narrower: aggregation process operator aggregation process argument . 2 _____ Terminology on Statistical Metadata aggregation process operator Definition: A mathematical operator used for specification of aggregation processes with statistical data broader: aggregation process related: aggregation process argument narrower: aggregation process argument Definition: A variable …

Field theoretic approach to a source-enhanced, 572 H Hayakawa In this paper, we study a source-enhanced aggregation process We derive the effective …

A problem that we had encountered in the aggregation process, is how to aggregate the elements that have cardinality >1. The purpose of this article is to present a new aggregation operator of ...

Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding a parameterization factor during the process as compared to fuzzy and intuitionistic fuzzy set theories....

Induced aggregation operators in the VIKOR method and its application in material selection. ... it is possible to consider complex attitudinal character of the decision maker by using order inducing variables in the aggregation process. The IOWA operator has been studied by a lot of authors in recent years, see, for example,,,,,,, . The objective of this paper is to present the use of ...

The Aggregation (Consolidation Operator) determines how child accounts aggregate to the parent account. Note that this aggregation does not depend on, and is independent of the account types. Note that this aggregation does not depend on, and is independent of the account types.

Fuzzy Inference Process Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping then provides a basis from which decisions can be made, or patterns discerned.

Gao, Li, and Liu (2015) developed a new class of aggregation operator based on utility function, which introduces the risk attitude of decision-makers (DMs) in the aggregation process of investment problem.

A problem that produce the aggregation process when the elements have cardinality greater than one is the distribution problem. To eliminate this type of problems the majority processes they were ...

aggregation process. Under the probabilistic linguistic term environment, we deeply investigate the Under the probabilistic linguistic term environment, we deeply investigate the new power aggregation (PA) operators for fusing the probabilistic linguistic term sets (PLTSs).

So, Data Aggregation is one kind of process where all type of information is collected and then represent that information in a summary format. The main purpose of the data aggregation is the analysis work like statistical analysis, comparison analysis, computations etc.

Aggregation — MongoDB Manual. 2018-12-20· Aggregation operations process data records and return computed results. Aggregation operations group values from multiple documents together, and can perform a variety of operations on the grouped data to return a single ...

XML Path Language (XPath) 3.1. Abstract XPath 3.1 is an expression language that allows the processing of values conforming to the data model defined in [XQuery and ...

These expression operators are available to construct expressions for use in the aggregation pipeline stages. Operator expressions are similar to functions that take arguments.

process done with a computer underlies numerical aggregation. In other words, the In other words, the mathematical aggregation operators are the key in this kind of processes.

The hybrid averaging (HA) is an aggregation operator that uses the weighted average (WA) and the ordered weighted averaging (OWA) operator in the same formulation. In this paper, we introduce several generalizations of the HA operator by using generalized and quasi-arithmetic means, fuzzy numbers

The aggregation pipeline is a framework for data aggregation modeled on the concept of data processing pipelines. Documents enter a multi-stage pipeline that transforms the documents into aggregated results.

A Majority Guided Aggregation Operator in Group, A Majority Guided Aggregation Operator in, shared by a majority of the experts involved in the decision process Objectively, the OWA operator is an aggregation .

A problem that we had encountered in the aggregation process, is how to aggregate the elements that have cardinality 1. The purpose of this article is to present a new aggregation operator of

A problem that we had encountered in the aggregation process, is how to aggregate the elements that have cardinality 1. The purpose of this article is to present a new aggregation operator of linguistic labels that uses the cardinality of these elements, the linguistic aggregation of majority additive (LAMA) operator. We also present an extension of the LAMA operator under the two-tuple fuzzy ...

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## Plansplaining, part 1. The unexpected aggregation and …

After Nested Loops kicks off the process, the operators call each other until Clustered Index Seek searches for a matching row and doesn't find anything. So it can't return a row to Stream Aggregate. It immediately returns the "end of data" indicator.