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Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities

Author

Listed:
  • Konstantinos Papageorgiou

    (Computer Science Department, University of Thessaly, 35100 Lamia, Greece)

  • Pramod K. Singh

    (Institute of Rural Management Anand (IRMA), Gujarat 388001, India)

  • Elpiniki Papageorgiou

    (Faculty of Technology, University of Thessaly, Geopolis Campus, 41500 Larisa, Greece
    Institute for Bio-Economy and Agri-Technology (iBO), Center for Research and Technology–Hellas (CERTH), 6th km Charilaou-Thermi Rd, GR 57001 Thermi, Thessaloniki, Greece)

  • Harpalsinh Chudasama

    (Institute of Rural Management Anand (IRMA), Gujarat 388001, India)

  • Dionysis Bochtis

    (Institute for Bio-Economy and Agri-Technology (iBO), Center for Research and Technology–Hellas (CERTH), 6th km Charilaou-Thermi Rd, GR 57001 Thermi, Thessaloniki, Greece)

  • George Stamoulis

    (Computer Science Department, University of Thessaly, 35100 Lamia, Greece)

Abstract

Every development and production process needs to operate within a circular economy to keep the human being within a safe limit of the planetary boundary. Policymakers are in the quest of a powerful and easy-to-use tool for representing the perceived causal structure of a complex system that could help them choose and develop the right strategies. In this context, fuzzy cognitive maps (FCMs) can serve as a soft computing method for modelling human knowledge and developing quantitative dynamic models. FCM-based modelling includes the aggregation of knowledge from a variety of sources involving multiple stakeholders, thus offering a more reliable final model. The average aggregation method for weighted interconnections among concepts is widely used in FCM modelling. In this research, we applied the OWA (ordered weighted averaging) learning operators in aggregating FCM weights, assigned by various participants/ stakeholders. Our case study involves a complex phenomenon of poverty eradication and socio-economic development strategies in rural areas under the DAY-NRLM ( Deendayal Antyodaya Yojana -National Rural Livelihoods Mission) in India. Various scenarios examining the economic sustainability and livelihood diversification of poor women in rural areas were performed using the FCM-based simulation process implemented by the “FCMWizard” tool. The objective of this study was three-fold: (i) to perform a brief comparative analysis between the proposed aggregation method called “OWA learning aggregation” and the conventional average aggregation method, (ii) to identify the significant concepts and their impact on the examined FCM model regarding poverty alleviation, and (iii) to advance the knowledge of circular economy in the context of poverty alleviation. Overall, the proposed method can support policymakers in eliciting accurate outcomes of proposed policies that deal with social resilience and sustainable socio-economic development strategies.

Suggested Citation

  • Konstantinos Papageorgiou & Pramod K. Singh & Elpiniki Papageorgiou & Harpalsinh Chudasama & Dionysis Bochtis & George Stamoulis, 2019. "Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities," Sustainability, MDPI, vol. 12(1), pages 1-31, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:305-:d:303472
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    References listed on IDEAS

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    Cited by:

    1. Diána Esses & Mária Szalmáné Csete & Bálint Németh, 2021. "Sustainability and Digital Transformation in the Visegrad Group of Central European Countries," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    2. Charisios Achillas & Dionysis Bochtis, 2020. "Toward a Green, Closed-Loop, Circular Bioeconomy: Boosting the Performance Efficiency of Circular Business Models," Sustainability, MDPI, vol. 12(23), pages 1-6, December.
    3. Konstantinos Papageorgiou & Pramod K Singh & Elpiniki I Papageorgiou & Harpalsinh Chudasama & Dionysios Bochtis & George Stamoulis, 2020. "Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.
    4. Konstantinos Papageorgiou & Gustavo Carvalho & Elpiniki I. Papageorgiou & Dionysis Bochtis & George Stamoulis, 2020. "Decision-Making Process for Photovoltaic Solar Energy Sector Development using Fuzzy Cognitive Map Technique," Energies, MDPI, vol. 13(6), pages 1-23, March.

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