LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU108222" target="_blank" >RIV/00216305:26510/14:PU108222 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3844/ajessp.2014.26.34" target="_blank" >http://dx.doi.org/10.3844/ajessp.2014.26.34</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3844/ajessp.2014.26.34" target="_blank" >10.3844/ajessp.2014.26.34</a>

Jazyk výsledku

čeština

Název v původním jazyce

LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50602 - Public administration

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

American Journal of Environmental Sciences

ISSN

1553-345X

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

26-34

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84897105331