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dc.contributor.authorBeran, Václav
dc.contributor.authorTeichmann, Marek
dc.contributor.authorKuda, František
dc.date.accessioned2021-03-26T08:06:48Z
dc.date.available2021-03-26T08:06:48Z
dc.date.issued2021
dc.identifier.citationSustainability. 2021, vol. 13, issue 3, art. no. 1396.cs
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10084/142993
dc.description.abstractThe problems that decision-makers face can escalate under imbalances, turbulent development, risks, uncertainties, disasters, and other influences. The development of processes in technical and economic structures is generally considered complex and chaotic, and it usually expands into innumerable dynamic influences. The paper focuses on the evaluation of the decision criteria choice structure, such as the factual cause of the consequences (e.g., future threats, opportunities, chances, occasion). It offers a graphical vision of the future forecast. It draws attention to prevention and prophylaxis versus criterion-generated time-space (TS). The paper deals with the question: Is it possible to choose and recommend the right time and place of process activities? The paper formulates a positive answer and illustrates a range of consequences. Developed activities (investment, production, etc.) take place in a defined TS; over time, they create new time-series states and expand the space by defining processes as a time series of activities. In a broader context, the article deals with the issue of the lifecycle of decision rules (dynamic proposal of opportunities) as the first step of decision making, i.e., the decision about the existence of opportunity. On the one hand, it respects static applications based on equilibrium states, while on the other hand, it draws attention to the need for a dynamic view of turbulent, dynamic, chaotic, and nonlinear phenomena.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSustainabilitycs
dc.relation.urihttp://doi.org/10.3390/su13031396cs
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectdecision makingcs
dc.subjectdecision rulescs
dc.subjectdata memorycs
dc.subjectdecision opportunitycs
dc.subjectutilitycs
dc.subjectdecision spacecs
dc.subjectcellular automatacs
dc.titleDecision-making rules and the influence of memory datacs
dc.typearticlecs
dc.identifier.doi10.3390/su13031396
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume13cs
dc.description.issue3cs
dc.description.firstpageart. no. 1396cs
dc.identifier.wos000615611300001


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.