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• Open Access   Article

  Optimization of Bayesian Single Sampling Plan for the Zero Inflated Poisson distribution Involving Risk Minimization Using Tangent Angle Method

  V. Kaviyarasu, P. Sivakumar

  Research Paper | Journal-Paper (IJSRMSS)

  Vol.8 , Issue.3 , pp.1-11, Jun-2021

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  Abstract
  This paper developed a procedure and tables for a Bayesian single sampling plan based on the Gamma-Zero Inflated Poisson (G-ZIP) distribution involving minimum angle method to reduce the producer`s risk and consumer’s risk for specified acceptance quality level and limiting quality level. In recent years, every manufacturing industry using technological advancements to detect product defects and rectifying them in the initial stages of production. It is possible to reduce the number of defective products early on using such technologies. Therefore, the occurrence of non-defects would be more frequent in the sampling inspection. However, random fluctuations in the production processes may lead some products to an imperfect state. In this case, one can consider the appropriate probability distribution of the number of defects to be a Gamma-Zero Inflated Poisson (G-ZIP) distribution. The optimal plan parameters for the proposed sampling plan are given to determine its minimum angle values, which are illustrated with suitable examples. Necessary tables are constructed to facilitate quality control engineers.

  Key-Words / Index Term
  Single sampling plan, Zero Inflated Poisson distribution, Bayesian Methodology, Minimum angle method, Risk minimization

  References
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  Citation
  V. Kaviyarasu, P. Sivakumar, "Optimization of Bayesian Single Sampling Plan for the Zero Inflated Poisson distribution Involving Risk Minimization Using Tangent Angle Method," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.8, Issue.3, pp.1-11, 2021

• Open Access   Article

  A Fuzzy Topsis Multiple-Attribute Decision Making for Production Electric upon Future Data

  Mohammed Alqatqat, Ma Tie Feng, Chandan Solanki

  Research Paper | Journal-Paper (IJSRMSS)

  Vol.8 , Issue.3 , pp.12-23, Jun-2021

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  Abstract
  the issue of decision-making in the process of producing electricity occupies the main concern in implementing most companies in developed countries. Therefore, there was a great interest in developing multi-criteria decision-making methods. And then as this research focuses on providing a technique for electricity demand performance (Fuzzy TOPSIS) to evaluate The amount of electrical energy to be produced in the future in china next 3 years This research focuses on presenting the system advantage by analogy with the ideal solution (Fuzzy TOPSIS) as a technique that helps to make the optimal decision when creating a project that is faced by complex and multi-criteria problems (MCDM). This technique is applied to a variety of areas as it allows a comprehensive and unbiased study of standards and alternatives. This research aims to highlight the importance of maintenance, and how Fuzzy TOPSIS technology can be employed. Finally, and by calculating the results show that the highest 12 months will the consumption electric increasing through criteria which decision makers take it, This requires that we need more electricity production in these months in the coming years 2021, 2022 and 2023 .

  Key-Words / Index Term
  TOPSIS , multiple-attribute decision making , production electric • fuzzy TOPSIS

  References
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  Citation
  Mohammed Alqatqat, Ma Tie Feng, Chandan Solanki, "A Fuzzy Topsis Multiple-Attribute Decision Making for Production Electric upon Future Data," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.8, Issue.3, pp.12-23, 2021

• Open Access   Article

  Using Jaccard Similarity Measure for Detection of Abusive Comments on Video by Indian YouTuber

  Karina Bohora, Sanjay Patil

  Research Paper | Journal-Paper (IJSRMSS)

  Vol.8 , Issue.3 , pp.24-32, Jun-2021

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  Abstract
  In this paper, a Jaccard index based technique for detection and analysis of abusive YouTube comments is proposed. The effectiveness of the designed approach is evaluated using a popular video by one of the most subscribed YouTubers in India having over 24 million subscribers. This entertainment YouTube video titled ‘The Art of Bad Words’ posted by CarryMinati garnered over 25 million views and more than 0.3 million comments within 15 days of being uploaded. Offensive language used in YouTube comments is often culture-specific and hence can be challenging to identify and keep a check on. So, the focus of this study is on comments containing derogatory language prevalent in the Indian subcontinent and thereby violating YouTube’s community guidelines and policies. The approach`s performance is compared for 4 different threshold values of Jaccard coefficient and the impact of each value on the results obtained is illustrated.

  Key-Words / Index Term
  Text Mining, YouTube, Data Mining, Online Video, Content Analysis, Jaccard Distance, Popular Video, India

  References
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  Citation
  Karina Bohora, Sanjay Patil, "Using Jaccard Similarity Measure for Detection of Abusive Comments on Video by Indian YouTuber," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.8, Issue.3, pp.24-32, 2021

• Open Access   Article

  Mathematical Modeling with Two-Step Mixed Chemotherapy on Tumor Growth and Its Treatment in Three Different Stages under Depression Effect

  J. Singh

  Research Paper | Journal-Paper (IJSRMSS)

  Vol.8 , Issue.3 , pp.33-40, Jun-2021

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  Abstract
  Doctors and experts have developed different many methods, medicines, surgery, therapies, etc, and used all effective parameters for the treatment of tumor growth. No one has paid attention to the depression parameter to date and has not included its effect in its mathematical model. We have presented all the effective parameters by a mathematical model incorporating the depression parameter in our mathematical model. The effect of depression increases the number of tumor cells and reduces immune capacity. Considering depression as an important role in tumor growth, its effects have been presented in three different stages. Each stage includes its effects and treatment. Different mathematical models are conferred for each stage and resolved by governing equations. This type of difficult, complex, serious, dangerous and challenging problem has been given a unique and effective solution using all effective parameters. We are confident that this model will act as an aid in solving problems in the treatment of cancer patients and guide them for future research

  Key-Words / Index Term
  Tumor growth, Dynamic Systems, Governing Equations

  References
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  Citation
  J. Singh, "Mathematical Modeling with Two-Step Mixed Chemotherapy on Tumor Growth and Its Treatment in Three Different Stages under Depression Effect," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.8, Issue.3, pp.33-40, 2021