ISPRS: intelligent services for poverty reduction schemes

Authors:
Petar Šolić;Matko Šarić;Darko Stipaničev
Affiliations:
University of Split, Department of Communication and Information Systems, Split, Croatia;University of Split, Department of Communication and Information Systems, Split, Croatia;University of Split, Department for Modelling and Intelligent Systems, Split, Croatia
Venue:
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
Year:
2011

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Abstract

UN started with Millennium Development Goals (MDG) 10 years ago. Problems addressed in the goals achievements are meant to solve world's biggest problems. This paper proposes ICT solution which helps economists in decision making and to address problem no.1. "The end of world poverty". Proposed system has ability of self-learning in order to address a lot of exceptions and personalize economics of different countries. Modular expert system architecture system is proposed. It is compared to existing solutions and benefits over them are discussed.