Using Similarity Measures to Identify Significant Rejection Risk Factors After Technical Screening of Research Articles

Author:

Majumder Priyanka1,Smarandache Florentin2ORCID

Affiliation:

1. Techno College of Engineering, Agartala, India

2. University of New Mexico, USA

Abstract

Nobody enjoys being rejected. It hurts to have your most recent paper rejected after putting a lot of work and effort into it. A manuscript may be rejected for a variety of reasons, such as simple mistakes and oversights or just being unrelated to the journal's focus. One of the major risk factors is technical rejection. On other signs, the technical rejection gets worse. Thus, the goal of this chapter is to identify the key technical risk factors for paper rejection. The cosine similarity measure in the SVPNS environment was utilised in this study to determine this risk factor.

Publisher

IGI Global

Reference10 articles.

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3. Dey, S., Debbarma, R., Tripathy, B. C., Das, S., & Majumder, P. (2022). Single-Valued Pentapartitioned Neutrosophic Exponential Similarity Measure under SVPNS Environment and Its Application in the Selection of Bacteria. Neutrosophic Sets and Systems, 51, 404.

4. Effective medical writing: How to write a case report which Editors would publish

5. Identification of the most significant risk factor of COVID-19 in economy using cosine similarity measure under SVPNS-environment.;P.Majumder;Neutrosophic Sets and Systems,2021

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