"P(SP/4I2/60/07)" . . . "[E5567B79E56E]" . . "Comparison of Sustainable Environment Indicators Aggregation Possibilities by Means of Chosen Petri Nets Species"@en . "Costa Jordao, Ticiano" . "regional development; Petri nets; aggregation; prediction; indicators; sustainable development; Models comparison"@en . . . "Comparison of Sustainable Environment Indicators Aggregation Possibilities by Means of Chosen Petri Nets Species"@en . . "Obr\u0161\u00E1lov\u00E1, Ilona" . "Comparison of Sustainable Environment Indicators Aggregation Possibilities by Means of Chosen Petri Nets Species" . "WSEAS Transactions on Environment and Development" . "3" . "3"^^ . "Comparison of Sustainable Environment Indicators Aggregation Possibilities by Means of Chosen Petri Nets Species" . "Ba\u0165a, Robert" . . "2010" . "25410" . "251527" . . "3"^^ . . "There are dozens of sets of indicators that try to solve the problem of sustainable environmental development at local, regional, national and global levels. Currently, there are two approaches under development: policy-based and capital approach. This article is focused in the evaluation of sustainable environment on regional level, where the number of indicators had to be, for purposes of strategic decisionmaking, limited only to the most important ones. It is possible to solve the problem by Petri nets. The result shows an example of aggregation for a group of indicators that provides useful information, which support decision-making for regional development management."@en . . "RIV/00216275:25410/10:39882767!RIV11-MZP-25410___" . . . . . . . "RIV/00216275:25410/10:39882767" . "GR - \u0158eck\u00E1 republika" . . "1790-5079" . . "There are dozens of sets of indicators that try to solve the problem of sustainable environmental development at local, regional, national and global levels. Currently, there are two approaches under development: policy-based and capital approach. This article is focused in the evaluation of sustainable environment on regional level, where the number of indicators had to be, for purposes of strategic decisionmaking, limited only to the most important ones. It is possible to solve the problem by Petri nets. The result shows an example of aggregation for a group of indicators that provides useful information, which support decision-making for regional development management." . . . "10"^^ . .