Uncertainty-Based Trimmed Coefficient of Variation with Application | Zendy

Ali Hussein AL-Marshadi | Zendy; Muhammad Aslam | Zendy; Abdullah Al-Harbey | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Uncertainty-Based Trimmed Coefficient of Variation with Application

Author(s) -

Ali Hussein AL-Marshadi,

Muhammad Aslam,

Abdullah Al-Harbey

Publication year - 2021

Publication title -

journal of mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.252

H-Index - 13

eISSN - 2314-4785

pISSN - 2314-4629

DOI - 10.1155/2021/5511904

Subject(s) - truncated mean , mathematics , consistency (knowledge bases) , coefficient of variation , statistics , variation (astronomy) , econometrics , indeterminacy (philosophy) , standard deviation , discrete mathematics , physics , quantum mechanics , estimator , astrophysics

In this paper, the neutrosophic trimmed average, neutrosophic trimmed standard deviation, and neutrosophic trimmed coefficient of variation (NTCV) are introduced. The application of the proposed neutrosophic trimmed descriptive statistics is given with the help of measurement data. The comparisons of the proposed NTCV are compared with the existing neutrosophic coefficient of variation (NCV). From the comparisons, it is concluded that the proposed NTCV is more efficient than NCV in terms of consistency and measures of indeterminacy. Based on the study, it is recommended to apply the proposed NTCV in the industry when there is a need to make decisions on the basis of measurement data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research