Fuzzy Indicator Modeling: Assessing Composition of Organic Fuels | Zendy

Elena Krueger | Zendy; Dmitry Kurtener | Zendy; Uwe Werner | Zendy; Andrew Migut | Zendy

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Fuzzy Indicator Modeling: Assessing Composition of Organic Fuels

Author(s) -

Elena Krueger,

Dmitry Kurtener,

Uwe Werner,

Andrew Migut

Publication year - 2015

Publication title -

european agrophysical journal

Language(s) - English

Resource type - Journals

eISSN - 2296-7664

pISSN - 2296-763X

DOI - 10.17830/j.eaj.2015.02.061

Subject(s) - fuzzy logic , environmental science , composition (language) , biochemical engineering , computer science , artificial intelligence , engineering , philosophy , linguistics

Biogas production is a clean, low carbon technology that is useful for efficient management and use of organic waste. Composition of organic waste plays an important role in biogas production. In the present investigation, fuzzy indicator modeling has been utilized for assessing 10 compositions of organic waste. Evaluation of these compositions was carried out using individual fuzzy indicators with two variables: "Methane" and "Hydrogen sulfide”. Alternative ranking of variants of composition is given.

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