User:Gbellocchi
Gianni Bellocchi (born July 22, 1969) is a researcher in agricultural and related sciences. He is credited with the development of approaches and tools in validation of estimates and measurements. Introduction of fuzzy logic in the context of validation is often considered to be the most significant contribution to the field of model and method validation (Agronomy Journal, volume 94, pages 1222-1233).
He also helped spark the validation issues in agro-ecological modelling and analytical methods through his reviews of specialistic literature. His approach to the aggregation of multiple validation metrics has influenced the way on how to look at validation results. In this respect he is credited with the establishment of hierarchy of preferences in validation and classification of models and methods in terms of aggregated, weighted metrics.
Along with his research work, Bellocchi is also known for his political activism. Moving from his Catholic background, he is a supporter of Italian politician
Biography
Gianni Bellocchi was born in Acquapendente and spent infancy and adolescence in San Lorenzo Nuovo,
It was during the '90s that he became more publicly engaged in politics, but without institutional involvement. With his writings he became a supporter of Rocco Buttiglione and those Catholic Italian politicians placing themselves as alternative to the left-wing parties.
Bellocchi's name
The name Gianni is a male name that is commonly believed to be of Italian origin, but it is more likely a Hebrew name. Gianni is abbreviation of
Contributions to model/method validation
Bellocchi's work in
Fuzzy logic
Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem.
Degrees of truth are vaguely often confused with
Fuzzy logic is controversial despite wide acceptance: it is rejected by some control engineers for validation and other reasons, and by some statisticians who hold that probability is the only rigorous mathematical description of uncertainty. Critics also argue that it cannot be a superset of ordinary set theory since membership functions are defined in terms of conventional sets.
Multiple-metric aggregation
Contributions to agronomy and agro-meteorology modelling
Contributions to other fields
Political views
Authorship (selected)
- Fila G., Donatelli M., Bellocchi G., 2006. PTFIndicator: an IRENE_DLL-based application to evaluate estimates from pedotransfer functions by integrated indices. Environmental Modelling and Software, 21, 107-110.
- Rivington M., Bellocchi G., Matthews K.B., Buchan K., 2005. A detailed evaluation of methods to estimate solar radiation data for use in simulation models and experimental analysis. Agricultural and Forest Meteorology, 135, 228-243.
- Bellocchi G., 2004. Appendix A: Numerical indices and test statistics for model evaluation. In Y. Pachepsky, W. Rawls (eds.) Development of pedotransfer functions in soil hydrology. Elsevier, The Netherlands, 394-400.
- Bellocchi G., Smith J., Donatelli M., Smith P., 2004. Improvements in time mismatch analysis of model estimates. VIII European Society for Agronomy Congress, 11-15 July, Copenhagen, Denmark, 221-222.
- Donatelli M., Wösten J.H.M., Bellocchi G., 2004. Evaluation of pedotransfer functions. In Y. Pachepsky, W. Rawls (eds.) Development of pedotransfer functions in soil hydrology. Elsevier, The Netherlands, 400-405.
- Fila G., Bellocchi G., 2004. Appendix B: Fuzzy expert systems. In Y. Pachepsky, W. Rawls (eds.) Development of pedotransfer functions in soil hydrology. Elsevier, The Netherlands, 357-363.
- Fila G., Donatelli M., Bellocchi G., 2004. An IRENE_DLL application to evaluate estimates from pedotrasnfer functions by integrated indices. VIII European Society for Agronomy Congress, 11-15 July, Copenhagen, Denmark, 253-254.
- Fila G., Bellocchi G., Acutis M., Donatelli M., 2003. IRENE: a software to evaluate model performance. European Journal of Agronomy, 18, 369-372.
- Fila G., Bellocchi G., Donatelli M., Acutis M., 2003. IRENE_DLL: A class library for evaluating numerical estimates. Agronomy Journal, 95, 1330-1333.