Mongo aggregation on array elements. arrays,mongodb,aggregation. Using aggregation you cannot get the exact output that you want. One of the limitations of aggregation pipeline is its inability to transform values to keys in the output document. For example, Kannur is one of the values of the location field, in the input document.

Weighted aggregation operator is an important tool for information aggregation, which can capture the expressed interrelationship of the individual arguments. Based on the operational laws in Definition 1, this section proposes the NLNWAA and NLNWGA operators to aggregate NLNs, which are usually utilized in decisionmaking problems.

Generally, aggregation operators (AOs) play an important role in the process of MCDM problems whose main target is to aggregate a collection of the input to a single number. In that direction,

Each operator gets guaranteed resources in time in a rotating fashion, example below with 3 operators REP DATA REP PREP REP DATA REP Operator 1 Operator 2 Operator 3 Operator 1 Operator 2 If a guaranteed resource is not used, it becomes an opportunistic resource for anyone to use.

In the following, based on fuzzy power weighted average (FPWA) operator and harmonic averaging operator, the fuzzy power weighted harmonic averaging operator (FPWHA) should be developed, which allows the input data to support each other in the aggregating process.

Even though there is not many Network Operators who has 20 Mhz BW, there are some network operators who has license multiple band (, two separated 10 Mhz BW and two or more 5 Mhz BW). These network operators wants to combine those multiple bands to .

extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. The IGOWLA operator uses orderinduced variables that modify the reordering mechanism of the arguments to be aggregated. The main advantage of the induced process is the consideration of the complex attitude of the decision makers.

This article is based on Einstein operations for bipolarvalued hesitant fuzzy sets (BVHFSs). We extend the concept of Einstein operators for BVHFSs by defining bipolarvalued hesitant fuzzy Einstein weighted averaging (BPVHFEWA) operators and weighted geometric (BPVHFEWG) operators. Similarly, we define ordered weighted averaging operators and hybrid operators BVHFEOWA operators ...

Aggregation operators model various operations on fuzzy sets, such as conjunction, disjunction and averaging. Recently double aggregation operators have been introduced; they model multistep aggregation process. The choice of aggregation operators depends on the particular problem, and can be done by fitting the operator to empirical data.

Chaining Operators. Each operator in the chain modifies the Observable that results from the operation of the previous operator. There are other patterns, like the Builder Pattern, in which a variety of methods of a particular class operate on an item of that same class by modifying that .

Efficient way to aggregate in Mongodb. python,mongodb,pymongo,aggregationframework. I was finally able to build a mapreduce aggregation to do get my job done, without changing the schema. var map_function = function(){ for( x in ){ var key = [x]; emit(key,1); } }; var reduce_function = function(a,b){ return (b); }; ( map_function, reduce ...

• Carrier aggregation (CA) allows combining of multiple component carriers Increasing bandwidth and enhancing data rates for users. Support for noncontiguous CA to more efficiently utilize fragmented frequency resources –more options for spectrum refarming. Multiplexing gain by dynamically distributing traffic over multiple carriers.

Jul 29, 2016· Grifols' serialization and aggregation systems and process make it possible to carry out track and trace operations at virtually any moment, not only in the supply process, but also during the logistic and marketing processes undergone by Grifols products, as well as those produced by Grifols Partnership for its customers.

Aggregation of pharmaceutical products is a process, in which each participant in the supply chain takes over the information from the predecessor and additionally supplements it with its own data. This begins with the manufacturer, travels via the packaging to the third party logistics company (3PL), on .

Aggregation processes are fundamental in any discipline where the fusion of information is of vital interest. For aggregating binary fuzzy relations such as equivalence relations or fuzzy orderings, the question arises which aggregation operators preserve specific properties of the underlying relations, T .

Aggregation operators. Prometheus supports the following builtin aggregation operators that can be used to aggregate the elements of a single instant vector, resulting in a new vector of fewer elements with aggregated values: sum (calculate sum over dimensions) min (select minimum over dimensions) max (select maximum over dimensions)

Note. The Sales Agg table is just another table, so it has the flexibility of being loaded in a variety of ways. For example, aggregation can be performed in the source database using ETL/ELT processes, or by the M expression for the table. It can use Import storage mode with or without incremental refresh in Power BI Premium, or it can be DirectQuery and optimized for fast queries using ...

forest decisionmaking process is presented in this paper. Cfuzzy random forest is a new kind of ensemble classifier which ... operators' objective was to create the operator which would be placed between these two extreme ones, adjusting their degree in the aggregation.

Aggregation To control both operating condition and data at any time, the connection between the physical machine level and the control software must be integrated across many stages of the company's IT. The Track Trace system evaluates data in real time.

SERVER6142 ExpressionCompare::evaluate does not use Value::compare, does not handle heterogenous types (including numeric types) and some other comparison cases. Closed

Power average (PA) operator, as a technique of fusing information, was introduced by Yager, which allows the arguments to support each other in the aggregation process. Definition 8. [ 1 ] Let A = { a 1, a 2, ⋯, a n } be a collection of nonnegative numbers.

Abstract We present the uncertain probabilistic ordered weighted averaging (UPOWA) operator. It is an aggregation operator that uses probabilities and OWA operators in the same formulation considering the degree of importance of each concept in the analysis. Moreover, it also uses uncertain information assessed with interval numbers in the aggregation process.