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 describe the economic, social, environmental technological aspects of bioeconomy. The paper present combined approach with using multi criteria...
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Format: | Article |
Language: | English |
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Sciendo
2022-01-01
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Series: | Environmental and Climate Technologies |
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Online Access: | https://doi.org/10.2478/rtuect-2022-0095 |
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author | Bohvalovs Girts Kirsanovs Vladimirs Blumberga Andra Blumberga Dagnija |
author_facet | Bohvalovs Girts Kirsanovs Vladimirs Blumberga Andra Blumberga Dagnija |
author_sort | Bohvalovs Girts |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-10T17:12:36Z |
format | Article |
id | doaj.art-2626707fba7548689929aa7606a301ab |
institution | Directory Open Access Journal |
issn | 2255-8837 |
language | English |
last_indexed | 2024-04-10T17:12:36Z |
publishDate | 2022-01-01 |
publisher | Sciendo |
record_format | Article |
series | Environmental and Climate Technologies |
spelling | doaj.art-2626707fba7548689929aa7606a301ab2023-02-05T19:46:42ZengSciendoEnvironmental and Climate Technologies2255-88372022-01-012611257126710.2478/rtuect-2022-0095Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping ApproachBohvalovs Girts0Kirsanovs Vladimirs1Blumberga Andra2Blumberga Dagnija3Institute of Energy Systems and Environment, Faculty of Electrical and Environmental Engineering, Riga Technical University, Azenes street 12/K1, LV-1048, Riga, LatviaInstitute of Energy Systems and Environment, Faculty of Electrical and Environmental Engineering, Riga Technical University, Azenes street 12/K1, LV-1048, Riga, LatviaInstitute of Energy Systems and Environment, Faculty of Electrical and Environmental Engineering, Riga Technical University, Azenes street 12/K1, LV-1048, Riga, LatviaInstitute of Energy Systems and Environment, Faculty of Electrical and Environmental Engineering, Riga Technical University, Azenes street 12/K1, LV-1048, Riga, LatviaThere 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.https://doi.org/10.2478/rtuect-2022-0095bioeconomycomposite sustainability indexdimensionsfuzzy cognitive mappingmethodology |
spellingShingle | Bohvalovs Girts Kirsanovs Vladimirs Blumberga Andra Blumberga Dagnija Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach Environmental and Climate Technologies bioeconomy composite sustainability index dimensions fuzzy cognitive mapping methodology |
title | Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach |
title_full | Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach |
title_fullStr | Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach |
title_full_unstemmed | Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach |
title_short | Bioeconomy Sustainability Index: A Fuzzy Cognitive Mapping Approach |
title_sort | bioeconomy sustainability index a fuzzy cognitive mapping approach |
topic | bioeconomy composite sustainability index dimensions fuzzy cognitive mapping methodology |
url | https://doi.org/10.2478/rtuect-2022-0095 |
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