Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Woman share in formal and informal labor market has gained much importance at national and international level. It has become the main agenda of national and international organizations for last three decades. Data collected for those women whom are contributing in the household budget through their informal economic activities is a Herculean task. The raison d’etre of our research work is to measure those factors which are affecting woman’s contribution in the household budget, particularly in the urban informal sector. Primary data were collected from urban councils of district Dera Ghazi Khan.
Prof. Dr. Abdul Ghafoor Awan. 2015. \u201cFactors Affecting Women Contribution in Household Budget in Urban Informal Sector: An Analysis\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 15 (GJHSS Volume 15 Issue E2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 113
Country: Pakistan
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Prof. Dr. Abdul Ghafoor Awan, Dr. Muhammad Zahir Faridi, Muhammad Mujahid Abbas (PhD/Dr. count: 2)
View Count (all-time): 156
Total Views (Real + Logic): 4399
Total Downloads (simulated): 2145
Publish Date: 2015 04, Tue
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Neural Networks and Rules-based Systems used to Find Rational and
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Woman share in formal and informal labor market has gained much importance at national and international level. It has become the main agenda of national and international organizations for last three decades. Data collected for those women whom are contributing in the household budget through their informal economic activities is a Herculean task. The raison d’etre of our research work is to measure those factors which are affecting woman’s contribution in the household budget, particularly in the urban informal sector. Primary data were collected from urban councils of district Dera Ghazi Khan.
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