<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>There is no one unique parameter with value which can represent bioeconomy sustainability and development. However, many different parameters can be used to describe the economic, social, environmental technological aspects of bioeconomy. The paper present combined approach with using multi criteria decision analysis (MCDA) and fuzzy cognitive map (FCM) analysis methods for bioeconomy sustainability index. Study describe methodology of fuzzy cognitive map developing, including expert involving, obtained data from survey combination to bioeconomy indicators and categories. The weight of selected FCM components were normalized using MCDA method. The critical points of the applied method and opportunities for improvement have been identified. The role of respondents in the results is also considered.</p>
</abstract>

There is no one unique parameter with value which can represent bioeconomy sustainability and development. However, many different parameters can be used to describe the economic, social, environmental technological aspects of bioeconomy. The paper present combined approach with using multi criteria decision analysis (MCDA) and fuzzy cognitive map (FCM) analysis methods for bioeconomy sustainability index. Study describe methodology of fuzzy cognitive map developing, including expert involving, obtained data from survey combination to bioeconomy indicators and categories. The weight of selected FCM components were normalized using MCDA method. The critical points of the applied method and opportunities for improvement have been identified. The role of respondents in the results is also considered.

Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach

Environmental and Climate Technologies

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach"}

There is no one unique parameter with value which can represent bioeconomy sustainability and development. However, many different parameters can be used to...

Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach

Publié en ligne: 16 déc. 2022

Pages: 1257 - 1267

DOI: https://doi.org/10.2478/rtuect-2022-0095

Mots clés
Bioeconomy, composite sustainability index, dimensions, fuzzy cognitive mapping, methodology

© 2022 Girts Bohvalovs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach

Publié en ligne: 16 déc. 2022

Pages: 1257 - 1267

DOI: https://doi.org/10.2478/rtuect-2022-0095

Mots clésBioeconomy, composite sustainability index, dimensions, fuzzy cognitive mapping, methodology

© 2022 Girts Bohvalovs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Bioeconomy, composite sustainability index, dimensions, fuzzy cognitive mapping, methodology