期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2241
页码：420-425
出版社：Newswood and International Association of Engineers
摘要：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.
关键词：Interval Type 2; Recruitment process; computing
with Words; Decision makers
