Number of the records: 1  

Using indicators of ecological stability in stochastic programming

  1. 1.
    0369422 - ÚTIA 2013 RIV CZ eng C - Conference Paper (international conference)
    Houda, Michal
    Using indicators of ecological stability in stochastic programming.
    Mathematical Methods in Economics 2011. Prague: Proffesional publishing, 2011, s. 279-283. ISBN 978-80-7431-058-4.
    [Mathematical Methods in Economics 2011. Jánska Dolina (SK), 06.09.2011-09.09.2011]
    R&D Projects: GA ČR GAP402/10/0956
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : EIA process * indicator of ecological stability * stochastic programming * value-at-risk model
    Subject RIV: BB - Applied Statistics, Operational Research

    When building bigger construction the EU law impose the so-called EIA process - evaluation of possible influences of the construction on the environment and population health, grouped into several categories. Outputs of the EIA process are recommendations to the investors compensating the negative impacts of the constructions by additional arrangements. In our contribution we develop an innovative approach to model the expenses devoted to obey the EIA rules by stochastic programming tools: especially, we represent uncertainty in parameters by their probabilistic distributions, and subjective utility function representing the ecological demands is modelled via so-called indicators of ecological stability. The model takes into account budget limitations, several legislative obligations, and other ecological aspects; the goal is to help choose the optimal compensating constructions and arrangements. The resulting stochastic programming model is seen as parallel to V@R problem.
    Permanent Link: http://hdl.handle.net/11104/0203488

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.