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Maya, K.
- On the Intuitionistic Fuzzy Normed Linear Space (ℝn,A)
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Authors
Paul Isaac
1,
K. Maya
2
Affiliations
1 Department of Mathematics, Bharata Mata College, Thrikkakara, Kochi-682 021, Kerala, IN
2 Department of Mathematics, St. Paul’s College, Kalamassery, Kochi-683 503, Kerala, IN
1 Department of Mathematics, Bharata Mata College, Thrikkakara, Kochi-682 021, Kerala, IN
2 Department of Mathematics, St. Paul’s College, Kalamassery, Kochi-683 503, Kerala, IN
Source
International Journal of Fuzzy Mathematics and Systems, Vol 2, No 2 (2012), Pagination: 95-110Abstract
This article is a study of the intuitionistic fuzzy normed linear space (ℝn,A). The convergence of sequences in the (ℝn,A) is studied and its relation with the convergence in (ℝ,B) is investigated. Also it studies about the Cauchy sequences in (ℝn,A) and their properties. A few results are proved in this context.
AMS subject classification: 03E72, 03F55, 26E50.
Keywords
Fuzzy Set, Fuzzy Norm, Intuitionistic Fuzzy Set, Intuitionistic Fuzzy Norm, Intuitionistic Fuzzy Normed Linear Space (IFNLS)References
- K.T. Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20:87–96, 1986.
- George J. Klir andTinaA. Folger, Fuzzy sets, Uncertainty, and Information, Prentice-Hall, Inc., Upper Saddle River, NJ, 1987.
- Vijayabalaji S., Thillaigovindan N., and Jun Y.B., Intuitionistic fuzzy n-normed linear space, Bull. Korean Math. Soc., 44:291–308, 2007.
- T.K. Samanta and Iqbal H. Jebril, Finite dimensional intuitionistic fuzzy normed linear spaces, Int. Jl. Open Problems Compt. Math., 2(4):574–591, 2009.
- L.A. Zadeh, Fuzzy sets, Inform. Control, 8:338–353, 1965.
- Quality of Surface and Ground Water around Tile and Brick Clay Mines in the Chalakudy River Basin, Southwestern India
Abstract Views :219 |
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Authors
Affiliations
1 Centre for Earth Science Studies, P.B. No. 7250, Thuruvikkal P.O., Akkulam, Thiruvananthapuram - 695 031, IN
1 Centre for Earth Science Studies, P.B. No. 7250, Thuruvikkal P.O., Akkulam, Thiruvananthapuram - 695 031, IN
Source
Journal of Geological Society of India (Online archive from Vol 1 to Vol 78), Vol 69, No 2 (2007), Pagination: 279-284Abstract
A study is conducted to assess the quality and seasonal variation of surface and ground water sources in and around Chalakudy basin, where intense clay mining activities for tile and brick manufacturing are taking place. The study reveals marked differences in most of the physical and chemical constituents of the ground and surface water sources. The pH, DO, BOD, conductivity, TDS, chloride, hardness and nutrient (N, P and Si) contents of ground water register high values than that of surface water. The conductivity, chloride, sutphate, hardness, calcium, magnesium and iron in the ground water samples fall within the BIS/WHO permissible limits of drinking water standards. Generally, the concentration of chemical components in ground water from clay mine areas is high compared to that from non-cIay ' mine areas. High incidence of bacterial contamination is observed in well waters which stresses the need for proper treatment prior to human consumption.Keywords
Surface and ground water sources, Tile and brick clay mining, Water quality parameters, Chalakudy river basin, Southwest Coast of India.- Rank Status and Happiness in India: A Panel Ordered Probit Estimation of the Effect of Ordinal Relative Comparison on Well-Being
Abstract Views :182 |
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Authors
T. Lakshmanasamy
1,
K. Maya
1
Affiliations
1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
1 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
Source
Indian Journal of Health and Wellbeing, Vol 11, No 1-3 (2020), Pagination: 48-56Abstract
Most often the social comparison or relative income hypothesis has been used as an explanation for the lack of systematic relationship between income and happiness, using the ordered probit regression method. The identification of relevant reference group and the estimation of the differential effects of comparison income have been controversial. To overcome these twin issues, this paper uses an ordinal comparison income approach based on rich/poor dichotomy and rank income. The rank income of an individual is defined as his relative position in the income distribution within the reference group and the average income of the reference group is used to define the rich/poor classification. The differential effects of ordinal incomes across life satisfaction distribution is estimated by the panel fixed effects ordered profit regression model using the WVS data for India. The estimated results show that ordinal income comparison, rather than cardinal average reference income, is a better predictor of life satisfaction levels. Raising income level is relatively important for less satisfied people while increasing rank status is important for highly satisfied people in India.Keywords
Happiness, Social Comparison, Cardinal Vs Ordinal Reference Income, Rank Income, Differential Effects.- Does Money Buy Happiness in India? Panel Estimation of the Long-Run Relationship between Income and Subjective Well-Being across States
Abstract Views :290 |
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Authors
T. Lakshmanasamy
1,
K. Maya
2
Affiliations
1 Formerly Professor, Department of Econometrics, University of Madras, Chennai 600005, Tamil Nadu, IN
2 Assistant Professor, Department of Economics, School of Social Sciences, Christ University, Bangaluru 560076, Karnataka, IN
1 Formerly Professor, Department of Econometrics, University of Madras, Chennai 600005, Tamil Nadu, IN
2 Assistant Professor, Department of Economics, School of Social Sciences, Christ University, Bangaluru 560076, Karnataka, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 63, No 4 (2021), Pagination: 414-443Abstract
This paper examines the validity of the Easterlin paradox - despite vast differences in income levels, happiness level across countries is pretty much close, the rise in average life satisfaction level is not systematically associated with growth in average income in any country, and nil long-run incomehappiness relationship - in India. Replicating the cross-country analysis, the income-subjective well-being relationship is analysed within-states, between states and across states over 24 years from 1990-2014 using five waves of World Values Survey data. Applying the panel fixed effects ordered probit regression method, individual and average life satisfaction and happiness levels are estimated with NSDP per capita of each state and groups of states. The long-run income-subjective well-being relationship is analysed with changes in average subjective well-being and per capita NSDP. The estimated results reveal that there is considerable variation in subjective well-being levels within, between states and across states over time in India. While life satisfaction levels declined in most states, happiness levels slightly increased in some states. The well-being gain from income growth in low-income states is comparatively better than that of developed states. In the long-run, the change in subjective well-being levels is not commensurate with the change in NSDP per capita. The empirical results of this paper on the income-subjective well-being relationship in Indian states validate the Easterlin Paradox in India. Economic growth in the states of India have not improved the human lot, in fact, it leaves people not satisfied and less happy with their life.Keywords
No Keywords.References
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- Senik (Eds.), Happiness and Economic Growth: Lessons from Developing Countries, Oxford: Oxford University Press, 32-139.
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- Diener, E., L. Tay and S. Oishi (2013), Rising Income and Subjective Well-being of Nations, Journal of Personality and Social Psychology, 104(2): 267-276.
- Druzic, M. and M. Majstorovic (2017), Material Well-being and Happiness in Transition Countries, Zagreb International Review of Economics and Business, 20(2): 21-32.
- Easterlin, R.A. (1974), Does Economic Growth Improve the Human Lot? Some Empirical Evidence, in P.A. David and M.W. Reder (Eds.), Nations and Households in Economic Growth, New York: Academic Press, 89-125.
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- Easterlin, R.A. and L. Angelescu (2010), Happiness and Growth the World Over: Time Series Evidence on the Happiness-Income Paradox, in H. Hinte and K.F. Zimmermann (Eds.), Happiness, Growth, and the Life Cycle, Oxford and New York: Oxford University Press, pp. 56-81.
- Easterlin, R.A. and O. Sawangfa (2010), Happiness and Economic Growth: Does the Cross Section Predict Time Trends?, in E. Diener, D. Kahneman and J.F. Helliwell (Eds.), International Differences in Well-Being, New York: Oxford University Press, pp. 166-216.
- Easterlin, R.A., L.A. McVey, M. Switek, O. Sawangfa and J.S. Zweig (2010), The HappinessIncome Paradox Revisited, Proceedings of the National Academy of Sciences USA, 107(52): 22463-22468.
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- Trends and Patterns of Women Workforce Participation in Agriculture in India
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Authors
K. Maya
1,
Neeraj Kumar
2
Affiliations
1 Department of Economics, School of Social Sciences, CHRIST (Deemed to be University), Bannerghatta Road Campus, Bengaluru, Karnataka, IN
2 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
1 Department of Economics, School of Social Sciences, CHRIST (Deemed to be University), Bannerghatta Road Campus, Bengaluru, Karnataka, IN
2 Department of Econometrics, University of Madras, Chennai, Tamil Nadu, IN
Source
Journal of Rural and Industrial Development, Vol 9, No 1 (2021), Pagination: 1-7Abstract
The agricultural sector plays a strategic role in the process of economic development of a country. Today, this sector as a whole has developed and expanded immensely with the growth of science and technology, and there is a growing realisation and commitment among the global community that the agriculture sector has to undergo changes for a sustainable and broadbased expansion, after addressing gender-related issues through the initiation and partnerships of various national, regional, and global institutions. In developing countries like India, agriculture continues to absorb and employ the female workforce, but fails to recognise their role and importance as an employed labour force. In developing countries, women participation in the agricultural labour force is 38%. However, a large number of women have been treated as an insignificant part of the active agricultural labour force; there is also a growing gap between women’s actual economic participation and public perception about their economic participation. At this juncture, there is a growing need for the agricultural research agenda to overcome the existing gaps and to tackle the emerging problems of sustainable development and livelihood of resource-poor women farmers. Several researchers have attempted to overcome this gap through empirical research studies on gender analysis and gender roles. The present study is an attempt to highlight the trend of female workforce participation in the agricultural sector across various Indian states. The secondary data is used to analyse the growth trend of the agricultural workers over the last decade. Suitable solutions have to be delivered to women farmers for raising their productivity, through which their overall empowerment may be targeted. Other practical solutions should also be taken up to help and support women farmers.Keywords
Cultivator, Agricultural Labour, Compound Growth Rate.References
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