XBRL formula specification in the multidimensional data model

Santos, Ignacio Soret Los; Castro, E.; Velasco, Manel

doi:10.1016/j.is.2015.11.001

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Step 2. Calculate the input hI-j and output hO-j of the hidden layer, as well as the input gk and output yk of the output layer, according to formulas (13) and (14).…”

Section: Bpnn Training Algorithmmentioning

confidence: 99%

“…There are at least two kinds of CIR risks: the objective loss of participants on the information transmission chain, and the negative impacts of cultural and social factors involved in the disclosure [10][11][12][13][14]. Chen [15] constructed an evaluation index system (EIS) for CIR quality, evaluated the CIR quality of a listed company in northeastern China's Liaoning Province, and put forward some improvement measures, highlighting the ability of extensible Business Reporting Language (XBRL) to automatically exchange and extract financial information in any software and information system, and make financial information more reliable and accurate.…”

Section: Introductionmentioning

confidence: 99%

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Predicting Risk Propagation of Corporate Internet Reporting Based on Fuzzy Neural Network

Ou¹,

Chen²

2020

ISI

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With the rapid advances of Internet technology, some listed companies choose to disclose their financial information in the form of corporate internet reporting (CIR). However, there is little report on the risk factors and formation mechanism of CIR risks. To better prewarn, prevent and regulate CIR risks, this paper designs an CIR risk propagation model based on fuzzy neural network (FNN). Firstly, an evaluation index system (EIS) was established for CIR safety, and subject to fuzzy comprehensive evaluation (FCE), after reliability analysis and weighting of the indices. Based on the evaluation results, the hypotheses and risk propagation mode were summarized, and used to set up a risk propagation model. Finally, a neural network (NN) algorithm was created to predict the CIR risk propagation path. The proposed model and algorithm were proved effective through experiments. The research findings provide a novel tool to dig deep into the propagation mechanism of CIR risks.

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“…Step 2. Calculate the input hI-j and output hO-j of the hidden layer, as well as the input gk and output yk of the output layer, according to formulas (13) and (14).…”

Section: Bpnn Training Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting Risk Propagation of Corporate Internet Reporting Based on Fuzzy Neural Network

Ou¹,

Chen²

2020

ISI

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show abstract

“…Boulila, Le Bera, Bimonteb, Gracc, and Cernessond (2014) presented the application of data warehouse (DW) and online analytical processing (OLAP) technologies to the field of water quality assessment. Santos, Castro, and Velasco (2016) presented the automation of the mapping between XBRL and the multidimensional data model and included a formalization of the validation rules. Data cube and OLAP data warehouse are the most applied to describe node information of cold chain of a single aquatic product as multidimensional information.…”

Section: Rel Ated Workmentioning

confidence: 99%

Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Liu

2018

Food Science & Nutrition

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The cold‐chain information has characterized by the loss and dispersion according to the different collecting methods. The description for the quality decay factors of aquatic products can be defined as the multidimensional information. A series of nodes with multidimensional information are assembled to be hierarchies aiming at describing the environment conditions and locations in the supply chain. Each of the single hierarchy levels constitutes a sequence of node information in a network, which is applied as internal information analysis. The cross‐layer information structure is defined as “bridge” information which is able to record the information transmissions among every hierarchy from the point of view of the whole chain. The study has established a novel structured modeling to describe the cold chain of aquatic products based on a network‐hierarchy framework. An organized and sustainable transmission process can be built and recorded by the multidimensional attributes for the whole course of cold chain of aquatic products. In addition, seamless connections among every hierarchy are attainable by the environmental information records continuously to monitor the quality of aquatic products. The quality assessments and shelf life predictions are estimated properly as the risk control in order to monitor and trace the safety of aquatic products under the supply chain perspective.

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Knowledge representation framework of accounting event in corpus-based financial report text

Liang

Ding

2018

Cluster Comput

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XBRL formula specification in the multidimensional data model

Cited by 4 publications

References 13 publications

Predicting Risk Propagation of Corporate Internet Reporting Based on Fuzzy Neural Network

Predicting Risk Propagation of Corporate Internet Reporting Based on Fuzzy Neural Network

Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Knowledge representation framework of accounting event in corpus-based financial report text

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