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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Main Authors: Bohvalovs Girts, Kirsanovs Vladimirs, Blumberga Andra, Blumberga Dagnija
Format: Article
Language:English
Published: Sciendo 2022-01-01
Series:Environmental and Climate Technologies
Subjects:
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.
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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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AT blumbergadagnija bioeconomysustainabilityindexafuzzycognitivemappingapproach