Information-analytical system for control of ecological-economic objects

Угольницкий, Геннадий Анатольевич; Усов, А. Б.

doi:10.1134/s1064230708020184

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Expert system (Wagner, 2017, Ugolnitskii andUsov, 2008) represents the knowledge base of control models that can be conditionally divided into two parts. In the first part is the known information from already existing control models (subsystems).…”

Section: Expert Systemmentioning

confidence: 99%

Analytical System with Decision Tree for Economic Benefit

Tyrychtr

2017

AOL

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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.

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Section: Expert Systemmentioning

confidence: 99%

Analytical System with Decision Tree for Economic Benefit

Tyrychtr

2017

AOL

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“…Analytical systems in agriculture are used to support strategic decision making and for detecting hidden information for easy understanding and anticipating the needs of the farmers. The analytical system generally consists of three components (Ugolnitskii and Usov, 2008): a data storage component (database with analytical functions), a database of models (the models, methods, and simulated processes) and an expert system.…”

Section: Analytical Systemsmentioning

confidence: 99%

Towards Framework for Economic Value of Analytical Systems in Agriculture: Proposal of Research

Tyrychtr

Junek

Vostrovský

et al. 2016

AOL

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An important criterion for agricultural businesses and farmers who make investment decisions is the profitability of their investments. If the profitability criterion is applied to investments in analytical systems, problems arise with determining the exact value of such criteria. Special approaches for assessing the benefits of such systems must be used to cope with this problem. This paper focuses on the economic evaluation of analytical systems, whose economic impact in agriculture is unclear. Two main types of research approaches are identified: normative approach and positive approach to the evaluation of analytical systems. These approaches can be used to identify the benefits of analytical systems for agricultural activities, and to express their economic value for the management of agricultural enterprises. A new research process and research phases for the design of a conceptual framework for analytical systems' economic evaluation in agriculture is proposed based on this theoretical and research background.

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Three-level control systems for ecological-economic objects with fan structure

Угольницкий

Усов

2011

Autom Remote Control

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Information-analytical system for control of ecological-economic objects

Cited by 4 publications

References 2 publications

Analytical System with Decision Tree for Economic Benefit

Analytical System with Decision Tree for Economic Benefit

Towards Framework for Economic Value of Analytical Systems in Agriculture: Proposal of Research

Three-level control systems for ecological-economic objects with fan structure

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