2018. 11. 16. · Data aggregation processes are essential constituents for data management in modern computer systems, such as decision support systems and Internet of Things systems, many with timing constraints. Understanding the common and variable features of data aggregation processes, especially their implications to the time-related properties, is key to …

2007. 4. 18. · a symbolic aggregation operation (acting on the order index of the labels) and the closest value in {0,...,g} which indicates the index of the closest linguistic term in S (s i). From this concept, in Ref. 12 a linguistic representation model is developed that represents the linguistic information by means of two tuples (r i, i), r i S, and i [ 0.5, 0.5). Theterm r

must have no influence in the later aggregation process, that is, the effective output must be the neutral element of the aggregation operator. Thus, the operators used in each step are not inde-pendent since the RET operator is dependent upon the neutral element of the uninorm used in the aggrega-tion process. In [10] adequate RET operators ...

The well-known Ordered Weighted Averaging (OWA) operators [25] are powerful aggregation techniques that can, with remarkable flexibility and effectiveness, well model such optimistic/pessimistic ...

This paper aims to develop an aggregation operator for two‐tuple linguistic information based on utility function, which characterizes the influence of decision makers' psychological factors on the linguistic aggregation process. First, we propose a new two‐tuple linguistic ordered utility aggregation (TOU) operator, and then, we investigate its properties that are suitable for any …

This process continues for all aggregation clauses. For example, the top-nested operator can be used to answer the following question: "For a table containing sales figures, such as country, salesperson, and amount sold: what are the top five countries by sales?

2020. 12. 9. · In MongoDB 4.2, there are 30 different aggregation pipeline stages that you can use to manipulate your documents. If you want to know more, I encourage you to follow this course on MongoDB University: M121: The MongoDB Aggregation Framework. #Second Example with Posts. This time, I'm using the collection posts in the same database.

Abstract: We introduce the power average to provide an aggregation operator which allows argument values to support each other in the aggregation process. The properties of this operator are described. We discuss the idea of a power median. We introduce some possible formulations for the support function used in the power average.

Coordination with utility distribution company. Before beginning the ISO New Resource Implementation process, a distributed energy resource provider must obtain concurrence from the applicable utility distribution company (UDC) or metered sub system (MSS) that there are no concerns about the distributed energy resources comprising a distributed energy resource aggregation.

Jun 15, 2020 · In this article, we will discuss the aggregation framework commands in MongoDB. In the previous article, we have discussed related to the index in MongoDB. Now, in this article, we will discuss the aggregation framework in MongoDB and also how we can use this in our data searching query. So, Data Aggregation is one kind of process where all type of information is collected and then represent ...

Feb 17, 2020 · Sometimes, it can be a complicated process to decide if we should use association, aggregation, or composition. This difficulty is caused in part because aggregation and composition are subsets of association, meaning they are specific cases of association.

The process in which soil particles coalesce and adhere to form soil aggregates. Aggregation is encouraged by the presence of bonding agents such as organic substances, clay, iron oxides, and ions (e.g. calcium and magnesium). 3. The progressive attachment of particles (e.g. ice or snow) or droplets around a nucleus, thereby causing its growth.

al. [18] developed some hesitant triangular aggregation operators under interval-valued Einstein operations. Apart from that, various researchers have paid more attention to decision-making process for aggregating the di erent alternatives using di erent aggregation operators [19-34] and their corresponding references.

match operator is similar to find() operator in mongoDB except that match works with aggregation. Likewise, match pipeline operator matches all the documents that satisfies the condition. On the above dataset, let's try to match all the documents which has MA as a state.

Aggregation framework is therefore an operation process which manipulates documents in different stages, processes them in accordance with …

The process of selecting applicants for a Ph.D. program, using different aggregation operators, is presented as a case study. The focus is on applying these operators using only ordinal (sorted ...

Oct 03, 2019 · Understanding Aggregation Method in Spark ... we can easily reuse lots of abstract functions in one single process since it makes creating anonymous ... seqOp is an operator used to accumulate ...

Aggregation Operator Neutral Element Fuzzy Measure Triangular Norm Weighted Arithmetic These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. This is a preview of subscription content, log in to check access. Preview ...

What are aggregation operators?

Index Terms—Aggregation Operators, Bisymmetry, Commut-ing Operators, Consensus. I. INTRODUCTION In various applications where information fusion or multi-factorial evaluation is needed, an aggregation process is carried out as a two-stepped procedure whereby several local fusion operations are performed in parallel and then the results are

Information aggregation operators generally play an important part in the process of MAGDM problems and thereby attract the attention of an increasing number of researchers [37–44]. However, these aggregation operators are assembled based on the DM’s preference and attributes are independent of each other . For real decision-making problems ...

2016. 10. 20. · The aggregation operators that follow the extension principle on linguistic data can be defined as (4) S n → F * F (R) → app (·) S, where S n symbolizes the n Cartesian product of S, F * is an aggregation operator based on the extension principle, F (R) is the set of fuzzy sets over the set of real numbers R, and app: F (R) → S is a linguistic approximation function that returns …

They process elements from a stream: Aggregate operations process elements from a stream, not directly from a collection. Consequently, they are also called stream operations . They support behavior as parameters : You can specify lambda expressions as parameters for …

Abstract: A new aggregation operator is proposed in this paper, which is defined based on mapping, whose input and output variables can be assigned by several different types of score terms, such as numbers, intervals, linguistic values or symbolic values. First, the definition of the aggregation operator is introduced, followed by the definitions of the layered relationship …

Mar 01, 2017 · A very common aggregation operator is the ordered weighted averaging (OWA) operator which provides a parameterized family aggregation operator between the minimum, the maximum, the arithmetic average, and the median criteria whose originally introduced by Yager [27]. There are two features have been used to characterize the OWA operators.

The OWA operators make available a parametric family of aggregation operators, including many of the well-known operators such as the median, the minimum, the arithmetic mean, and the maximum ...

Aggregation options determine how child member values aggregate to parent members. During application creation, if you enable Intercompany Data, three Aggregation options are available for aggregating Intercompany entities to the …

Feb 16, 2007 · Two different characterizations of self-dual aggregation operators are available in the literature: one based on C (x, y) = x / (x + 1-y) and one based on the arithmetic mean. Both approaches construct a self-dual aggregation operator by combining an aggregation operator with its dual.

aggregation operators; dual aggregation operators 1. Introduction Multicriteria decision-making (MCDM) is one of the hot topics in the decision-making field to choose the best alternative to the set of the feasible one. In this process, the rating values of each alternative include both precise data and experts’ subjective information [1,2].

• Aggregation is a relatively recent trend mainly observed in African, European, and Latin American countries. • Aggregation is more predominant in countries where local governments are responsible for WSS service delivery. • The predominant aggregation type is a top-down, mandated process, targeted

The rest of this paper consists of the following. Part 2 reviews some basic definitions. Some aggregation operators are constructed based on the uninorm in L ∗-fuzzy set theory in part 3. In part 4, we develop the decision-making approach based on the proposed aggregation operator, and apply it to decision experiments.

Meanwhile, some properties of the operational law are investigated. Later, we apply them to derive the q‐rung orthopair fuzzy weighted exponential aggregation operator. Additionally, an approach for multicriteria decision‐making problems under the q‐rung orthopair fuzzy data is explored by applying proposed aggregation operator.

Aggregation Methods for Lineary-solvable Markov Decision Process ... the principal eigenfunction of a linear operator. Despite this linearity, when dealing with physical systems such as vehicles or robots, the state space become continuous and the curse of dimensionality emerges. Carefully designed

A class of compensative weighted averaging (CWA) aggregation operators, having a dedicated parameter to model compensation, is presented. The variants of CWA operator with ordered weighted averaging (OWA) operator are developed.

QUANTIFIER GUIDED AGGREGATION 53 An essential feature of this aggregation is the reordering operation, a nonlin- ear operator, that is used in the process. Thus in the OWA aggregation the weights are not associated with a particular argument but with the ordered position of the arguments.