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DOHNAL, M.
Originální název
Landfills multiple goal optimization using equationless qualitative relations
Typ
článek v časopise ve Scopus, Jsc
Jazyk
angličtina
Originální abstrakt
Landfills are unique and difficult to measure. Their optimization must be solved with a severe lack of information. The privilege of not utilizing information items based on common sense cannot be afforded, as this represents an important part of the available ad hoc landfill knowledge related to e.g., economics, sociology. Therefore, a flexible, formal tool for dealing with the common sense knowledge and data of a non-numerical nature is required. The classical quantitative tools, e.g., statistics, are inefficient for dealing with such sets of non-quantitative information items as interviews. Qualitative quantification is information non-intensive. It is based on just three values-positive, zero and negative; increasing, constant and decreasing. A qualitative model can be used to generate all possible qualitative activities/scenarios. It means that the past history and future scenarios of the landfill under study are known, given the model is correct. The scenarios can be screened against the prescribed trends (maximization or minimization) of objective functions, to identify all possible ways of achieving optimal results. A case study with four mutually competing objective functions is presented in details. No prior knowledge of qualitative reasoning is required.
Klíčová slova
Multiple Goal, Landfill, Qualitative Model, Qualitative Scenario, Common Sense
Autoři
Rok RIV
2014
Vydáno
5. 2. 2014
Nakladatel
Science Publication
Místo
USA
ISSN
1553-345X
Periodikum
American Journal of Environmental Sciences
Ročník
10
Číslo
1
Stát
Spojené státy americké
Strany od
26
Strany do
34
Strany počet
9
URL
https://thescipub.com/abstract/10.3844/ajessp.2014.26.34
Plný text v Digitální knihovně
http://hdl.handle.net/11012/201749
BibTex
@article{BUT106155, author="Mirko {Dohnal}", title="Landfills multiple goal optimization using equationless qualitative relations", journal="American Journal of Environmental Sciences", year="2014", volume="10", number="1", pages="26--34", doi="10.3844/ajessp.2014.26.34", issn="1553-345X", url="https://thescipub.com/abstract/10.3844/ajessp.2014.26.34" }