www.ijecs.in International Journal Of Engineering And Computer Science Volume 8 Issue 9 September 2019, Page No. 24838-24846 ISSN: 2319-7242 DOI: 10.18535/ijecs/v8i09.4362 I.Manga, IJECS Volume 08 Issue 09 September, 2019 Page No.24838-24846 Page 24838 Mamdani-Fuzzy Framework for Academic Staff Selection and Placement in Nigerian Universities I.Manga 1* , S.D. Samaila 2, and H. Bello 3 1,2,3 Department of Computer Science. Adamawa State University Mubi, Nigeria. Abstract: Selection and placement of appropriate personnel for the right job leads to great success in any organization. However, this is one of the most important activities carried out by Human Resource (HR). Minimizing imprecision and subjective value judgment in personnel selection processes were taken into consideration in this research by developing personnel selection and placement framework using the Mamdani- fuzzy model. This research work is aimed at developing Mamdani- fuzzy framework for academic staff selection and placement. A model with three levels has been developed to manage the database, and the necessary conditions required from applicants for selection and placement, and the consideration of individual temperament was paramount. Tools: Java script and HTML (for the front end) PHP and MySQL (for the database storage as back end). Experimental results using fuzzy classification membership function defined by the truth value of a fuzzy propositional function would also be used as part of the analysis and design. When the need arise, MathLab would be employed for some analysis and simulations. A graphical user interface (GUI) would be developed for all the relevant forms in order to effectively interact with the users of the system. Key words: Human Resources, Fuzzy Logic, I. Introduction Any organization requires resources, including qualified personnel, for effective performance. Researchers in the field of Human Resources Management (HRM) believe that the quality of personnel is a strategic solution because it affects the organization performance, such as, customer satisfaction, innovations, profitability and competitiveness of the company. Human resources management refers generally to the identification, assessment, selection, employment, motivation, training and development of employees to the goals of the enterprise. It should be also noted that organizations faced the growing global competition in human resources [6]. The personnel selection processes are targeted at selecting and placing the best applicant out of vast pool of applicant to occupy the vacant position identified by HR. A number of techniques which aid organizations in making decisions on how personnel are selected and place properly in suitable positions were adopted. However, multi criteria decision making (MCDM) techniques have been adopted for handling personnel selection problems [5]. Human resources management refers generally to the identification, assessment, selection, employment, motivation, training and development of employees to the goals of the enterprise. It should be also noted that organizations faced the growing global competition in human resources [6]. The personnel selection process is aimed at choosing the best applicant to occupy vacant positions. The differences in the expert opinions have caused high degrees of uncertainties in personnel selection.. However, Multi Criteria Decision Making (MCDM) method, Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS), Expert Systems (ES), Artificial Neural Networks (ANN), Fuzzy Logic (FL) etc are implemented in applicant selection processes [1]. Much research has been conducted on recruitment policy adaptation due to its critical role in bringing human capital into organizations [9] Mamdani fuzzy inference is the most commonly seen fuzzy methodology and was among the first control systems built using fuzzy set theory. It was proposed in 1975 by Ebrahim Mamdani [1] as an