Competitive learning for Self Organizing Maps used in classification of partial discharge

Jaramillo-Vacio, Rubén; Ochoa, Alberto; Ríos-Lira, Armando Javier; Ponce, Julio

doi:10.1109/conielecomp.2012.6189910

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…This model try to be more reactive to decide whom was be vulnerable to different changes on the economy and as help at these people, the social experience that occurs on Cyprus, Ireland, Portugal, Spain, Italy and principally in Greece permits to improve the peak of population of this society which occurs in 2027 when only a 3% of population will be saved 300000 Euri to the rest of their lives and with 87% of population with problems to buy a house. In addition we compare the built of Social capital from families descending from Japanese people specially Hokkaido and compare a sample with people from Basque Country, Yakutia, Equatorial Guinea and Korea societies which visit as part of a Project with funds from European Union, we propose use Fuzzy Logic and Self-organized maps as the proposed in [9].…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Fuzzy Logic to determine poverty levels in a society

Ochoa

González

Maldonado

et al. 2013

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)

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Through this research, we shows a study on the identification of poverty in a great city with over a million of habitants -and featured with a radical violence which costs 32000 deaths-and analyze vulnerability with homeless and poor people in the municipality of Ciudad Juarez -a largest city in México, the seventh most largest-, trying the questionnaire used for the study, with fuzzy logic techniques. With this new method of treatment about questionnaires using fuzzy logic techniques, we can obtain the equivalent response of a specific group, as well as membership and uncertainty of it. This will reduce the subjective interpretation of the pollsters, favoring decision to propose public policies related to improving the quality of life of people in this society.

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Section: Conclusion and Future Researchmentioning

confidence: 99%