On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Expert Systems with Applications: An International Journal
International Journal of Intelligent Systems
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
Fuzzy quantifiers in sensitivity analysis of OWA operator
Computers and Industrial Engineering
Evaluating knowledge management capability of organizations: a fuzzy linguistic method
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy AHP approach to personnel selection problem
Applied Soft Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
A new version of 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Personnel selection using analytic network process and fuzzy data envelopment analysis approaches
Computers and Industrial Engineering
A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection
Expert Systems with Applications: An International Journal
Personnel selection based on computing with words and fuzzy MULTIMOORA
Expert Systems with Applications: An International Journal
Job performance prediction in a call center using a naive Bayes classifier
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Crew rostering with multiple goals: An empirical study
Computers and Industrial Engineering
A novel hybrid decision-making model for selecting locations in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Fuzzy data mining: a literature survey and classification framework
International Journal of Networking and Virtual Organisations
A multidimensional approach for CSR assessment: The importance of the stakeholder perception
Expert Systems with Applications: An International Journal
Group decision making under hesitant fuzzy environment with application to personnel evaluation
Knowledge-Based Systems
Hi-index | 12.06 |
Many individual attributes considered for personnel selection such as organizing ability, creativity, personality, and leadership exhibit vagueness and imprecision. The fuzzy set theory appears as an essential tool to provide a decision framework that incorporates imprecise judgments inherent in the personnel selection process. In this paper, a fuzzy multi-criteria decision making (MCDM) algorithm using the principles of fusion of fuzzy information, 2-tuple linguistic representation model, and technique for order preference by similarity to ideal solution (TOPSIS) is developed. The proposed method is apt to manage information assessed using both linguistic and numerical scales in a decision making problem with multiple information sources. Furthermore, it enables managers to deal with heterogeneous information. The decision making framework presented in this paper employs ordered weighted averaging (OWA) operator that encompasses several operators as the aggregation operator since it can implement different aggregation rules by changing the order weights. The aggregation process is based on the unification of information by means of fuzzy sets on a basic linguistic term set (BLTS). Then, the unified information is transformed into linguistic 2-tuples in a way to rectify the problem of loss information of other fuzzy linguistic approaches. The computational procedure of the proposed framework is illustrated through a personnel selection problem reported in an earlier study.