Authors:
Luca Anzilli
;
Gisella Facchinetti
;
Giovanni Mastroleo
and
Alessandra Tafuro
Affiliation:
University of Salento, Italy
Keyword(s):
EU Agricultural Programs, Leader, LAG, Governance, Fuzzy Systems.
Related
Ontology
Subjects/Areas/Topics:
Approximate Reasoning and Fuzzy Inference
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
;
Fuzzy Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
In regard to the LEADER program (European Union initiative for rural development), in the paper the authors
propose a model for assessing the governance system of Local Action Groups (LAGs) in terms of structure,
decision making processes and principles that ensure a clear and transparent activity thus creating significant
value for the community. Governance, in particular, is a highly important theme when it evaluates the impacts
of LEADER measures: if the quality of their governance is high, they could contribute to make the rural
development process more efficient in each region of EU. The empirical literature on this subject is not well
developed and the authors hope and expect that this new assessment model will produce important ideas for
making governance of the LAGs more effective. It is based on a Fuzzy Expert System and here are presented
results for Puglia (Italy) LAGs.