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DOUBRAVSKÝ, K. DOHNAL, M. KOCMANOVÁ, A.
Originální název
Analysis of Sustainability Decision Trees Generated by Qualitative Models Based on Equationless Heuristics
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Sustainability processes are complex and therefore ill-known, inconsistent, and subjective, and must be studied despite a shortage of information. It is prohibitively difficult to study them on quantitative levels using quantitative methods. The presented qualitative approach enables us to solve these issues. There are just three values used to describe the qualitative variables and their derivatives, plus/increasing, zero/constant, and negative/decreasing. An n-dimensional equation-less qualitative model is a set of pairwise relations. Such relations represent a shallow knowledge of the sustainability systems being studied. The solution of the qualitative model is a set of scenarios. The behaviour of this model is described by all of the possible transitions among these scenarios. A decision maker can easily compile a decision tree if he/she knows all of the possible transitions. The generated tree can be evaluated using traditional methods if all of the relevant probabilities are known. Otherwise, some heuristics are used to evaluate the best decision.
Klíčová slova
Sustainability; equation-less qualitative model; decision tree; information shortage; heuristics.
Autoři
DOUBRAVSKÝ, K.; DOHNAL, M.; KOCMANOVÁ, A.
Vydáno
18. 7. 2018
Nakladatel
MDPI
Místo
Basel
ISSN
2071-1050
Periodikum
Sustainability
Ročník
10
Číslo
7
Stát
Švýcarská konfederace
Strany od
1
Strany do
18
Strany počet
URL
http://www.mdpi.com/2071-1050/10/7/2505
Plný text v Digitální knihovně
http://hdl.handle.net/11012/84048
BibTex
@article{BUT148863, author="Karel {Doubravský} and Mirko {Dohnal} and Alena {Kocmanová}", title="Analysis of Sustainability Decision Trees Generated by Qualitative Models Based on Equationless Heuristics", journal="Sustainability", year="2018", volume="10", number="7", pages="1--18", doi="10.3390/su10072505", issn="2071-1050", url="http://www.mdpi.com/2071-1050/10/7/2505" }