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Publication detail
DOHNAL, M.
Original Title
Landfills multiple goal optimization using equationless qualitative relations
Type
journal article in Scopus
Language
English
Original Abstract
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.
Keywords
Multiple Goal, Landfill, Qualitative Model, Qualitative Scenario, Common Sense
Authors
RIV year
2014
Released
5. 2. 2014
Publisher
Science Publication
Location
USA
ISBN
1553-345X
Periodical
American Journal of Environmental Sciences
Year of study
10
Number
1
State
United States of America
Pages from
26
Pages to
34
Pages count
9
URL
https://thescipub.com/abstract/10.3844/ajessp.2014.26.34
Full text in the Digital Library
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" }