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DOUBRAVSKÝ, K. DOHNAL, M. KOCMANOVÁ, A.
Original Title
Analysis of Sustainability Decision Trees Generated by Qualitative Models Based on Equationless Heuristics
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Sustainability; equation-less qualitative model; decision tree; information shortage; heuristics.
Authors
DOUBRAVSKÝ, K.; DOHNAL, M.; KOCMANOVÁ, A.
Released
18. 7. 2018
Publisher
MDPI
Location
Basel
ISBN
2071-1050
Periodical
Sustainability
Year of study
10
Number
7
State
Swiss Confederation
Pages from
1
Pages to
18
Pages count
URL
http://www.mdpi.com/2071-1050/10/7/2505
Full text in the Digital Library
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" }