Statistical Relationship between the Parameters of Some Indexed Journals by Fuzzy Linear Regression
Pavan Kumar
Pavan Kumar, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
Manuscript received on 19 August 2019. | Revised Manuscript received on 25 August 2019. | Manuscript published on 30 September 2019. | PP: 4959-4964 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5625098319/2019©BEIESP | DOI: 10.35940/ijrte.C5625.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose a statistical relationship between acceptance rate & first decision time of some indexed journals by applying fuzzy linear regression (FLR). We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Pearson correlation coefficient (CC) value is also calculated. All this analysis reports that there is a moderate positive correlation between acceptance rate & first decision time.
Keywords: Acceptance Rate, First Decision Time, Correlation, Fuzzy Linear Regression.
Scope of the Article: Fuzzy Logics