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

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Author(s): Priyanka Majumder (Techno College of Engineering, Agartala, India)and Florentin Smarandache (University of New Mexico, USA)
Copyright: 2023
Pages: 12
Source title: Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University of Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Morocco)
DOI: 10.4018/978-1-6684-7836-3.ch016

Keywords: Engineering Science Reference / Fuzzy Systems / Knowledge Management and Library Science / Mathematics

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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.

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

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