Participatory modelling for poverty alleviation using fuzzy cognitive maps and OWA learning aggregation.

ABSTRACT: Participatory modelling is an emerging approach in the decision-making process through which stakeholders contribute to the representation of the perceived causal linkages of a complex system. The use of fuzzy cognitive maps (FCMs) for participatory modelling helps policy-makers develop dynamic quantitative models for strategising development interventions. The aggregation of knowledge from multiple stakeholders provides consolidated and more reliable results. Average aggregation is the most common aggregation method used in FCMs-based modelling for weighted interconnections between concepts. This paper proposes a new aggregation method using learning OWA (ordered weighted averaging) operators for aggregating FCM weights assigned by various stakeholders. Besides, we report a comparative an

SUBMITTER: Papageorgiou K 

PROVIDER: S-EPMC7279611 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature