A Fuzzy Model for Performance Appraisal andPromotion Ranking System: A Case Study ofNigerian Air Force

Transparency in the performance appraisal and ranking of service personnel applying for promotion in any organisation is important for efficient human resource management. In this paper, an approach for the promotion screening and ranking of officers in Nigerian Air Force due for a particular rank is discussed. The approach uses fuzzy logic concepts to classify the officers for ranking decisions fairly through the various performance appraisal processes. The research established a new ranking procedure which makes it possible to rank and order the performance of the officers by aggregating the scores from each evaluator. The result from the system is to be used to appraise and promote eligible and qualified officers

[1]  Mary Anne Devanna,et al.  Strategic Human Resource Management , 1984 .

[2]  Madan M. Gupta,et al.  Introduction to Fuzzy Arithmetic , 1991 .

[3]  Earl Cox,et al.  The fuzzy systems handbook , 1994 .

[4]  Edward G. Michaels,et al.  The War For Talent , 2001 .

[5]  Jason Gerner,et al.  Beginning PHP5, Apache, and MySQL Web Development (Programmer to Programmer) , 2005 .

[6]  K. A. Conrad,et al.  Current Perspectives in Industrial/Organizational Psychology , 1997 .

[7]  Ibam Emmanuel Onwuka,et al.  Web-Based Virtual Classroom System Model for Tertiary Institutions , 2012 .

[8]  Chiung Moon,et al.  A performance appraisal and promotion ranking system based on fuzzy logic: An implementation case in military organizations , 2010, Appl. Soft Comput..

[9]  C. Moraga Introduction to Fuzzy Logic , 2005 .

[10]  James C. Bezdek,et al.  Fuzzy models—What are they, and why? [Editorial] , 1993, IEEE Transactions on Fuzzy Systems.

[11]  Nikola Kasabov,et al.  Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.

[12]  Jerry M. Mendel,et al.  Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..

[13]  Francisco Herrera,et al.  Linguistic decision analysis: steps for solving decision problems under linguistic information , 2000, Fuzzy Sets Syst..

[14]  Franck Dernoncourt Introduction to fuzzy logic , 2013 .

[15]  D. Borst,et al.  Human resource management. , 2001, Occupational medicine.