Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities
by
Konstantinos Papageorgiou 1,*
, Pramod K. Singh 2, Elpiniki Papageorgiou 3,4, Harpalsinh Chudasama 2, Dionysis Bochtis 4,* and George Stamoulis 1
Konstantinos Papageorgiou 1,*, Pramod K. Singh 2, Elpiniki Papageorgiou 3,4, Harpalsinh Chudasama 2, Dionysis Bochtis 4,* and George Stamoulis 1
1
Computer Science Department, University of Thessaly, 35100 Lamia, Greece
2
Institute of Rural Management Anand (IRMA), Gujarat 388001, India
3
Faculty of Technology, University of Thessaly, Geopolis Campus, 41500 Larisa, Greece
4
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
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(1), 305; https://doi.org/10.3390/su12010305
Received: 9 December 2019 / Revised: 24 December 2019 / Accepted: 26 December 2019 / Published: 30 December 2019
(This article belongs to the Special Issue Green, Closed Loop, Circular Bio-Economy)
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.
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Keywords:
circular economy; sustainable socio-economic development; quality of life; poverty alleviation; participatory modelling; ordered weighted averaging; aggregation
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MDPI and ACS Style
Papageorgiou, K.; Singh, P.K.; Papageorgiou, E.; Chudasama, H.; Bochtis, D.; Stamoulis, G. Fuzzy Cognitive Map-Based Sustainable Socio-Economic Development Planning for Rural Communities. Sustainability 2020, 12, 305.
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