Agris on-line Papers in Economics and Informatics

Faculty of Economics and Management CULS Prague, Kamýcká 129, 165 00 Praha - Suchdol

The international peer-reviewed scientific journal, ISSN 1804-1930


Analytical System with Decision Tree for Economic Benefit

Jan Tyrychtr

DOI: 10.7160/aol.2017.090412

Agris on-line Papers in Economics and Informatics, No 4 /2017, December

pp. 123-129

Tyrychtr, J. (2017) “Analytical System with Decision Tree for Economic Benefit", AGRIS on-line Papers in Economics and Informatics, Vol. 9, No. 4, pp. 123-129. ISSN 1804-1930.DOI 10.7160/aol.2017.090412.

Abstract

Data processing is an important aspect of business decision support systems (DSS). A good analytical
system to process these data is essential to implement as a primary pillar for the development of complex
expert systems. Businesses themselves are constantly confronted with deciding on investment opportunities
to improve their performance. An important criterion for selecting investment is its profitability which cannot
be easily determined when investing in analytical systems. Currently, there are two types of approaches
to evaluating investments into information systems: normative and positive approaches. The simplest form
of decisional analytical modeling is the decision tree (normative approach). The purpose of the article
is to illustrate decision tree analysis as a component of an analytical system for evaluating two decision
alternatives. The test case is demonstrated on an example of decision-making in agriculture.

Keywords

Analytical system, decision tree, decision rules, economic value, agriculture.

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