A Case Study of a Complex System with the Decimas Framework

Antonio Fernández-Caballero,Francisco J Gómez,Marina V Sokolova

doi:10.29019/eidos.v0i2.51

Antonio Fernández-Caballero, Francisco J Gómez + Show 1 more

Open Access

https://doi.org/10.29019/eidos.v0i2.51

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Abstract

This paper presents the DeciMaS framework , which supports the vital stages of information system creation. The case study for the DeciMaS framework is also presented. For this reason an agent-based decision support system (ADSS) is created and described in detail. We discuss the structure and the data mining methods of the designed ADSS. The intelligent ADSS described here provides a platform for integration of related knowledge coming from external heterogeneous sources, and supports its transformation into an understandable set of models and analytical dependencies, with the global aim of assisting a manager with a set of decision support tools.

Highlights

The principal objective of complex systems (CS) study and analysis is to give a possibility to understand and estimate it, but fundamentally to be able to forecast, control and manage it
The Function Approximation agent (FAA) has to be able to execute many data mining strategies. It executes a set of plans, which create statistical regression models, the models based on feed-forward neural networks (FFNN), group method of data handling approach (GMDH)-models and their hybrids, represented in form of committee machines
The system belongs to the organizational type, where every agent obtains a class of tools and knows how and when to use them

Summary

A Case Study of a Compex System with the Decimas Framework

Abstract— This paper presents the DeciMaS framework , which supports the vital stages of information system creation. The case study for the DeciMaS framework is presented. For this reason an agent-based decision support system (ADSS) is created and described in detail. We discuss the structure and the data mining methods of the designed ADSS. The intelligent ADSS described here provides a platform for integration of related knowledge coming from external heterogeneous sources, and supports its transformation into an understandable set of models and analytical dependencies, with the global aim of assisting a manager with a set of decision support tools

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