Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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ReserarchID
46156
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Neural Networks and Rules-based Systems used to Find Rational and
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This paper takes into consideration the severe bottlenecks that have actually bedeviled econometric analysis and documentation of food security since time immemorial. It aims at modeling food security estimation using fuzzy logics. The paper shows econometrically how food security measurement drawbacks are overcome using residual diagnostic analysis by the effects of fuzzy logics on the leverage points of food security predictors. Further, the results indicate that the preliminary econometrics tests on the residual diagnostic analysis on the error variance, co linearity, multicollinearity and mahalanobis distances improved the estimation of food intake (the predicted criterion) because its predictors are stabilized upon data conversion into fuzzy membership functions. To a certain reasonable extent, it may be very safe to conclude that there is something quite positive in econometric research when fuzzy logics are applied in estimating food security, poverty among other similar subjective or qualitative variables.
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