Authors:
Tindara Addabbo
1
;
Gisella Facchinetti
2
and
Tommaso Pirotti
1
Affiliations:
1
Università di Modena e Reggio Emilia, Italy
;
2
Università del Salento, Italy
Keyword(s):
Fuzzy logic, Health, Capabilities, Gender perspective.
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:
The capability of living a healthy life may be considered a key dimension in the construction of individual well-being. It is itself the outcome of a complex set of indicators also including subjective indicators. This paper measures health at an individual level by using fuzzy logic to maintain the complexity of its definition while providing a crisp indicator of the level of health which may be disaggregated in relevant intermediate variables. The system has been implemented on the basis of the Italian National Statistical Institute (ISTAT) survey on health conditions, the results of which show a higher level of gender inequality in health than ,may be obtained by the traditional techniques used to measure health. We do find that when controlling for age, women are still characterized by poorer health conditions. Data disaggregated by regional area show a degree of variability in the outcome which may be connected to the varying policies implemented in different regions of Italy.