INDIAN JOURNAL OF PURE & APPLIED BIOSCIENCES

ISSN (E) : 2582 – 2845

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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2019, Volume : 7, Issue : 6
First page : (264) Last page : (269)
Article doi: : http://dx.doi.org/10.18782/2582-2845.7865

Normal Optimization Technique for Hydrological Data Sets under Fuzzy Environment

M. Sunitha1, B. Polaiah2, S. K. Khadar Babu3*, K. Pushpanjali4 and M. V. Ramanaiah5
1Senior Bio-Statistical Officer, Sri Venkateswara Institute of Medical Sciences, Tirupathi
2,4Sri Krishnadevaraya University, Ananthapur, Andhra Pradesh, India
3*VIT, Vellore, Tamil Nadu, India
5Sri Venkateswara University, Tirupathi-517502, Andhra Pradesh, India
*Corresponding Author E-mail: khadar.babu36@gmail.com
Received: 16.10.2019  |  Revised: 20.11.2019   |  Accepted: 27.11.2019  

 ABSTRACT

At Present, the challenging aspect in research is mainly observed that to estimate the pre-defined well-versed parameters for a specified data sets. A Novel approach in research methodology is to study and analyse the parameters of the big data sets in nature. Now-a-days the data availability is in high dimensional in the sense of size aspect only the main source. The present research paper is proposed to estimate the pre-defined parameters by using the robust statistical techniques under the fuzzy environment only. Fuzzy statistical approach is only the source to analyse the different parameters for crisp data. In fuzzy approach, the data totally transformed under three different aspects like “happen, Most likely happen and rarely happen” cases for easy analyse and optimize the normal probability distribution and provide significant techniques in statistics.

Keywords: Normal Probability Function, Fuzzy statistics, Crisp data analysis etc.

Full Text : PDF; Journal doi : http://dx.doi.org/10.18782

Cite this article: Sunitha, M., Polaiah, B., Khadar Babu, S.K., Pushpanjali, K., & Ramanaiah, M.V. (2019). Normal Optimization Technique for Hydrological Data Sets under Fuzzy Environment, Ind. J. Pure App. Biosci. 7(6), 264-269. doi: http://dx.doi.org/10.18782/2582-2845.7865




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