<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.</p></abstract>

The multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.

The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness

Faculty of Economics and Management, University of Zielona Góra, 65-417 Zielona Góra, Poland

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

Foundations of Management

The multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS)...

The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness

Published Online: Mar 20, 2012

Page range: 81 - 100

DOI: https://doi.org/10.2478/v10238-012-0030-y

Keywords
decision support system, empirical knowledge base, prognostic decision, multi-criteria assessment methodology implementation effectiveness, decision making space model, uncertainty conditions, trapezoidal fuzzy numbers, fuzzy neural network, fuzzy reasoning

This content is open access.

The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness

Published Online: Mar 20, 2012

Page range: 81 - 100

DOI: https://doi.org/10.2478/v10238-012-0030-y

Keywordsdecision support system, empirical knowledge base, prognostic decision, multi-criteria assessment methodology implementation effectiveness, decision making space model, uncertainty conditions, trapezoidal fuzzy numbers, fuzzy neural network, fuzzy reasoning

This content is open access.

Keywords
decision support system, empirical knowledge base, prognostic decision, multi-criteria assessment methodology implementation effectiveness, decision making space model, uncertainty conditions, trapezoidal fuzzy numbers, fuzzy neural network, fuzzy reasoning