DocumentCode
3398141
Title
Personnel selection method using Analytic network Process (ANP) and fuzzy concept
Author
Ayub, Mohammed ; Kabir, Md Jonaed ; Alam, Md Golam Rabiul
Author_Institution
Dept. of Bus. Adm., Int. Islamic Univ., Chittagong, Bangladesh
fYear
2009
fDate
21-23 Dec. 2009
Firstpage
373
Lastpage
378
Abstract
Due to complex functionality of the organization, it requires the most competent and skilled personnel to challenge the global trends. To focus such personnel an integrated scientific selection procedure is a must. Analytic thinking approaches are the most suitable methods to address this problem of personnel selection. Analytic Hierarchy Process (AHP) is more suitable when the hierarchical levels are independent of each other and Analytic network Process (ANP) is used when there are factors, which are dependent of the other factors in the same hierarchical levels or other levels. The method proposed in this paper successfully models the ambiguity and imprecision associated with the pair wise comparison process and reduces the personal biasness. The model allows many qualitative and qualitative factors and provides the importance level of each criteria/sub-criteria so that the decision maker has the ability to determine which factors are to be given emphasize. All the members of the decision maker have the opportunity to express their judgments and hence participative decision-making is achieved.
Keywords
decision making; human resource management; analytic hierarchy process; analytic network process; analytic thinking approaches; decision making; fuzzy concept; human resource management; personnel selection method; Personnel; Analytic Hierarchy Process; Analytic Network Process; Human Resource Management; Personnel Selection and Fuzzy; Supermatrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Information Technology, 2009. ICCIT '09. 12th International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4244-6281-0
Type
conf
DOI
10.1109/ICCIT.2009.5407266
Filename
5407266
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