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Description
  • 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 prescri (en)
  • 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 prescr
  • 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 prescr (cs)
Title
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS (en)
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS (cs)
skos:prefLabel
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS (en)
  • LANDFILLS MULTIPLE GOAL OPTIMIZATION USING EQUATIONLESS QUALITATIVE RELATIONS (cs)
skos:notation
  • RIV/00216305:26510/14:PU108222!RIV15-MSM-26510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 25594
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26510/14:PU108222
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Multiple Goal, Landfill, Qualitative Model, Qualitative Scenario, Common Sense (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [26B3F2BBD12B]
http://linked.open...i/riv/nazevZdroje
  • American Journal of Environmental Sciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 10
http://linked.open...iv/tvurceVysledku
  • Dohnal, Mirko
issn
  • 1553-345X
number of pages
http://bibframe.org/vocab/doi
  • 10.3844/ajessp.2014.26.34
http://localhost/t...ganizacniJednotka
  • 26510
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