Developing a data analytics platform to support decision making in emergency and security management

Pérez-González, Carlos J.; Colebrook, Marcos; García, José Luis Roda; Rosa-Remedios, Carlos B.

doi:10.1016/j.eswa.2018.11.023

Cited by 65 publications

(100 citation statements)

References 45 publications

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“…The work [17] carries out the development of an analytical web platform for studying the geographical and temporal incidents distribution. The web platform contains several information panels with statistically significant results by territory.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of estimation and forecasting method in intelligent decision support systems

Mahdi¹,

Shyshatskyi

Prokopenko

et al. 2021

EEJET

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The method of estimation and forecasting in intelligent decision support systems was developed. The essence of the method is the analysis of the current state of the object and short-term forecasting of the object state. Objective and complete analysis is achieved by using improved fuzzy temporal models of the object state and an improved procedure for processing the original data under uncertainty. Also, the possibility of objective and complete analysis is achieved through an improved procedure for forecasting the object state and an improved procedure for learning evolving artificial neural networks. The concepts of fuzzy cognitive model are related by subsets of influence fuzzy degrees, arranged in chronological order, taking into account the time lags of the corresponding components of the multidimensional time series. The method is based on fuzzy temporal models and evolving artificial neural networks. The peculiarity of the method is the possibility of taking into account the type of a priori uncertainty about the object state (full awareness of the object state, partial awareness of the object state and complete uncertainty about the object state). The possibility to clarify information about the object state is achieved using an advanced training procedure. It consists in training the synaptic weights of the artificial neural network, the type and parameters of the membership function, as well as the architecture of individual elements and the architecture of the artificial neural network as a whole. The object state forecasting procedure allows conducting multidimensional analysis, consideration, and indirect influence of all components of a multidimensional time series with their different time shifts relative to each other under uncertainty. The method provides an increase in data processing efficiency at the level of 15–25% using additional advanced procedures.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of estimation and forecasting method in intelligent decision support systems

Mahdi¹,

Shyshatskyi

Prokopenko

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…Lyu and Chen [36] designed a multivariate SPC technique to detect defects which often occur during manufacturing process. Pérez-González et al [37] applied SPC to get the proper decision from the entire emergency and security system. In several steel manufacturing industries, quality control techniques are implemented to enhance process monitoring of designing and manufacturing steel rods.…”

Section: A Real Application Of Sewma ò To Steel Rod Manufacturing Indmentioning

confidence: 99%

On designing a sequential based EWMA structure for efficient process monitoring

Khaliq

Omar

Riaz

2020

Journal of Taibah University for Science

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Control chart is a popular technique that is widely used in statistical process control to identify any possible deviations from a stable state of a process. Shewhart charts are famous for identifying larger shifts, while cumulative sum and exponentially weighted moving average control charts are well known for identifying smaller shifts in process parameters. This study examines the performance of a sequential-based EWMA (namely SEWMA Ò) chart for observing the location of a normally distributed process. The performance of SEWMA Ò is oberved by using several overall run length properties (like average, median and standard deviation). The comparative study reveals that the overall performance of the proposed design is better than the existing counterparts. Moreover, the superiority depends on the choice of the design parameters of the proposed chart. A real-life data set from a steel rod manufacturing industry were considered to show the real-life illustration of the proposed design.

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“…In [15], an analytical web platform is developed to investigate the geographical and temporal distribution of incidents. The web platform contains several dashboards with statistically significant results for territories.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method of fuzzy evaluation of information and analytical support of strategic management

Alieinykov

Thamer

Zhuravskyi

et al. 2019

EEJET

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Developing a data analytics platform to support decision making in emergency and security management

Cited by 65 publications

References 45 publications

Development of estimation and forecasting method in intelligent decision support systems

Development of estimation and forecasting method in intelligent decision support systems

On designing a sequential based EWMA structure for efficient process monitoring

Development of a method of fuzzy evaluation of information and analytical support of strategic management

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