The Multicriteria Selection Methodology of the Decision Support System

• Authors: Justyna Patalas-Maliszewska , Tadeusz Krupa
• Languages of publication: EN

Abstracts

EN

An issue of building a tool orientated to the support of selection process of decision support system (DSS) for the sector of small and medium enterprises is presented in the article. A group method of data handling (GMDH) whose application allows to objectives a search process of required DSS, with assumed costs and other existing resource limitations, is proposed for this purpose. The article is devoted to a problem of GMDH adjustment to solving the tasks related to the selection of a required system from among the information systems of DSS class, according to the criteria determined by a future user of this system. The GMDH takes into account among other things such assumptions as: a precise description of dependences between input and output data in a specified time horizon, independence of the user's knowledge (the values of observed data from the past registered in the base are the input data) and minimization of modelling errors (the selection of solutions takes place by means of a selected evaluation rule of quality estimation).

Keywords

EN

Decision support system (DSS); multi-criteria decision making model; group method of data handling (GMDH); information system of GMDH class; neuronal networks; genetic algorithms; root mean squared error of approximation; Iwachnienko polynomial; polynomial decision making model; SME sector

• Publisher: Sciendo
• Journal: Foundations of Management
• Year: 2010
• Volume: 2
• Issue: 2
• Pages: 51-62

Dates

published

2010-01-01

online

2012-03-20

Contributors

author

Justyna Patalas-Maliszewska

• Faculty of Mechanical Engineering, University of Zielona Góra, 65-417 Zielona Góra, Poland

author

Tadeusz Krupa

• Faculty of Management, Warsaw University of Technology, 02-524 Warszawa, Poland

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Identifiers

DOI

10.2478/v10238-012-0028-5