Recruitment Process Based on Computing with Words using Interval Type-2 Fuzzy Set HM Approach

• Published in: Lecture notes in engineering and computer science Vol. 2241; p. 420
• Main Authors: Oladipupo, Olufunke, Olawoye, Simisola, Olajide, Oluwole, Oyelade, Jelili, Adubi, Stephen
• Format: Journal Article
• Language: English
• Published: Hong Kong International Association of Engineers 22.10.2019
• Subjects: Computation; Decision making; Evaluation; Fuzzy sets; Intervals; Judgments; Recruitment; Uncertainty; Words (language)
• ISSN: 2078-0958; 2078-0966

Recruitment process is a procedure of selecting an ideal candidate amongst different applicants who suit the qualifications required by the given institution in the best way. Due to the multi criteria nature of the recruitment process, it involves human evaluation which is often characterized with subjectivity and uncertainties in decision making. Given the uncertain, ambiguous, and vague nature of recruitment process there is need for an applicable methodology that could resolve various inherent uncertainties of human evaluation during the decision making process. Computing with word is a methodology in which the objects of computation are words and propositions drawn from a natural language and have more important bearing on how human make perception-based rational decisions in an environment of imprecision, uncertainty and partial truth. In this paper in order to capture word uncertainty an interval type 2 (IT2) fuzzy set using Hao and Mendel Approach (HMA) is proposed to model the qualification requirement for recruitment process in an academic environment. This approach will cater for both intra and inter uncertainty in decision makers' judgments and demonstrates agreements by all subjects (decision makers) for the regular overlap of subject data intervals and the manner in which data intervals are collectively classified into their respective footprint of uncertainty.