About: Forest Production Steering to Sustained Yield under Risk Condition by Interactive Linear Programming Task Construction     Goto   Sponge   NotDistinct   Permalink

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Description
  • The base of the presented tasks is the theory of normal forest, newly stochastically formulated by Kouba in 1969-1983, based on the theory of random processes, especially of homogenous, regular Markov chains. The purpose of this formulation was inclusion of interference, abiotic and biotic and anthropogenic one, which cause destruction (decrease) of the original forest area and present the main risk of forestry, in general of forest growth and development. Optimum management of forest production (of growth and age structure) consists in detection of the development path, which provides the closest possible conversion to the stochastically defined normal forest, with regard to a suitable criterion function. Optimum management steps have to conform to restrictions of decision-making space, given by probabilities of calamities by age classes (stages) and arbitrary-determined shares of maximum felling area of the appropriate age class. These problems lead to rather large linear programming tasks (hundr
  • The base of the presented tasks is the theory of normal forest, newly stochastically formulated by Kouba in 1969-1983, based on the theory of random processes, especially of homogenous, regular Markov chains. The purpose of this formulation was inclusion of interference, abiotic and biotic and anthropogenic one, which cause destruction (decrease) of the original forest area and present the main risk of forestry, in general of forest growth and development. Optimum management of forest production (of growth and age structure) consists in detection of the development path, which provides the closest possible conversion to the stochastically defined normal forest, with regard to a suitable criterion function. Optimum management steps have to conform to restrictions of decision-making space, given by probabilities of calamities by age classes (stages) and arbitrary-determined shares of maximum felling area of the appropriate age class. These problems lead to rather large linear programming tasks (hundr (en)
  • The base of the presented tasks is the theory of normal forest, newly stochastically formulated by Kouba in 1969-1983, based on the theory of random processes, especially of homogenous, regular Markov chains. The purpose of this formulation was inclusion of interference, abiotic and biotic and anthropogenic one, which cause destruction (decrease) of the original forest area and present the main risk of forestry, in general of forest growth and development. Optimum management of forest production (of growth and age structure) consists in detection of the development path, which provides the closest possible conversion to the stochastically defined normal forest, with regard to a suitable criterion function. Optimum management steps have to conform to restrictions of decision-making space, given by probabilities of calamities by age classes (stages) and arbitrary-determined shares of maximum felling area of the appropriate age class. These problems lead to rather large linear programming tasks (hundr (cs)
Title
  • Forest Production Steering to Sustained Yield under Risk Condition by Interactive Linear Programming Task Construction
  • Forest Production Steering to Sustained Yield under Risk Condition by Interactive Linear Programming Task Construction (en)
  • Řízení procesu vyrovnání k trvale udržitelnému lesu při úvaze rizika pomocí interaktivně konstruovaných úloh lineárního programování (cs)
skos:prefLabel
  • Forest Production Steering to Sustained Yield under Risk Condition by Interactive Linear Programming Task Construction
  • Forest Production Steering to Sustained Yield under Risk Condition by Interactive Linear Programming Task Construction (en)
  • Řízení procesu vyrovnání k trvale udržitelnému lesu při úvaze rizika pomocí interaktivně konstruovaných úloh lineárního programování (cs)
skos:notation
  • RIV/60460709:41410/04:9793!RIV/2005/MSM/414105/N
http://linked.open.../vavai/riv/strany
  • 140;146
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 414100006)
http://linked.open...iv/cisloPeriodika
  • 4
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
  • 564682
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41410/04:9793
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Stochastical normal forest, conversion to normal forest, Markov chain, theory of reliability, linear programming (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [1D47240AE4C6]
http://linked.open...i/riv/nazevZdroje
  • Scientia Agriculturae Bohemica
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 35
http://linked.open...iv/tvurceVysledku
  • Zahradník, Daniel
  • Kouba, Jan
http://linked.open...n/vavai/riv/zamer
issn
  • 1211-3174
number of pages
http://localhost/t...ganizacniJednotka
  • 41410
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