Object structure

Title:

A Fuzzy Approach to Determination of Compliance and Emission Trading Rules for Uncertain Pollution Emission Estimates

Subtitle:

Raport Badawczy = Research Report ; RB/50/2007

Creator:

Nahorski, Zbigniew Tadeusz. Autor ; Horabik-Pyzel, Joanna Stanisława. Autor

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2007

Description:

44 pages ; 21 cm ; Bibliography p. 44

Subject and Keywords:

Fuzzy sets ; Zbiory rozmyte ; Emission permits trading ; Uncertainty ; Compliance ; Rynek pozwoleń na emisję

Abstract:

In this paper we model the uncer­tain inventories using fuzzy numbers, which allows us to shape both their uncertainties and ignorance of precise uncertainty parameters. Derived this way compliance and emission trading rules generalize those for the interval uncertainty approach, which were considered in the earlier papers. The final conclusion is, however, that the interval uncertainty rules can be still ap­plied, but the used in them the noncompliance risk should take much higher values. The derivation is then generalized for the nonsymmetric membership functions and the compliance checking condition is derived for this case.

Relation:

Raport Badawczy = Research Report

Resource Type:

Report

Source:

RB-2007-50

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

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