How to cite this paper
Karmaker, C & Saha, M. (2015). Teachers’ recruitment process via MCDM methods: A case study in Bangladesh.Management Science Letters , 5(8), 749-766.
Refrences
Afshari, A., Mojahed, M., & Yusuff, R.M. (2010). Simple Additive Weighting approach to Personnel Selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515.
Barber, A.E. (1998). Recruiting employees. Thousand Oaks. CA: Sage Publications.
Becker, G. S. (1995). Human capital and poverty alleviation. World Bank, Human Resources Development and Operations policy.
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233–247.
Capaldo, G., Zollo, G. (1992). Applying fuzzy logic to staff assessment: a case study. The International Journal of Management Science, 29, 585–597.
Chang, D.Y. (1992). Extent analysis and synthetic decision. Optimization Techniques and Applications, 1, 352-355.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
Chen, G., & Pham, T. T. (2001). Introduction to fuzzy, sets fuzzy, logic and fuzzy control systems. Florida: CRC Press.
Chen, H. (2004). A research based on fuzzy AHP for multi-criteria supplier selection in supply chain. Master thesis, National Taiwan University of Science and Technology, Department of Industrial Management.
Chen, P. C. (2009). A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment”, IJCSNS International Journal of Computer Science and Network Security, 9 (7), 113-117.
Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Berlin: Springer-Verlag.
Cheng, C. H., Chen, C. T., & Huang, S. F. (2012). Combining fuzzy integral with order weight average (OWA) method for evaluating financial performance in the semiconductor industry. African Journal of Business Management, 6(21), 6358-6368.
Csutora, R., & Buckley, J. J. (2001). Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy sets and Systems, 120(2), 181-195.
Davoudi, M. R., & Sheikhvand, K. (2012). An approach towards enterprise architecture analysis using AHP and fuzzy AHP. International Journal of Machine Learning and Computing, 2(1), 46-51.
Demirel, T., Demirel, N. C., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943-3952.
Deng, H. (1999). Multicriteria analysis with fuzzy pair-wise comparison. International Journal of Approximate Reasoning, 21, 215–231.
Enea, M., & Piazza, T. (2004). Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making (Vol. 3). New York: Kluwer Academic Publishers, 39–62.
Ghosh, D.N. (2011). Analytic Hierarchy Process & TOPSIS Method to Evaluate Faculty Performance in Engineering Education. Dipendra Nath Ghosh et al UNIASCIT, 1(2), 63-70.
Güng?r, Z., Serhadl?o?lu, G., & Kesen, S. E. (2009). A Fuzzy AHP approach to staff selection problem. Applied Soft Computing ,9, 641-646.
Hota H.S., Sirigiri Pavani, P.V.S.S. Gangadhar (2013). Evaluating Teachers Ranking Using Fuzzy AHP Technique. International Journal of Soft Computing and Engineering (IJSCE), 2(6), 2231-2307.
Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Berlin: Springer.
Jessop, A. (2004). Minimally biased weight determination in staff. Journal of Operation Research, 153, 433–444.
Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. International Journal of Production Economics, 87(2), 171-184.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.
Kahraman, C., Ruan, D., & Do?an, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135-153.
Karsak, E. E. (2001).Staff selecting using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Multiple Criteria Decision Making in the New Millennium, Springer.
Karmaker, C. L., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters, 4, 315–334 .
Kaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic: theory and applications. Arden Shakespeare.
Kelemenis & D. Askounis (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37, 4999-5008.
Kousalya, P., Ravindranath, V., & Vizayakumar, K. (2006). Student Absenteeism in Engineering Colleges: Evaluation of Alternatives Using AHP. Journal of Applied Mathematics and Decision Sciences, 1-26.
Kumar, D. S., Radhika, S., & Suman, K. N. S. (2013). MADM Methods for Finding The Right Personnel in Academic Institutions. International Journal of u- and e- Service, Science and Technology, 6(5), 133-144.
Liang, G. S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research, 112(3), 682-691.
Liang, S., & Wang, M. J. J. (1994).Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78, 22–33.
Lootsma, F. A. (1999). Multi-criteria decision analysis via ratio and difference judgment. Kluwer Academic Publishers.
Mahapatra, S. S., & Khan, M. S. (2007). A Neural Network Approach for Assessing Quality in Technical Education: An Empirical Study. International Journal of Productivity and Quality Management, 2(3), 287-306.
Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega, 30, 393–401.
Mikhailov, L., & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing, 5(1), 23-33.
Miller, G. M., & Feinzing, S. L. (1993)Fuzzy sets and staff selection: discussion and application. Journal of Occupational and Organizational Psychology, 66, 163–169.
Neogi, A., Mondal, A. C., & Mandal, S. K. (2011). A Cascaded Fuzzy Inference System for University Non-Teaching Staff Performance Appraisal. Journal of Information Processing Systems, 7(4).
?zda?o?lu, A., & ?zda?o?lu, G. (2007). Comparison of AHP and fuzzy AHP for the multi-criteria decision making processes with linguistic evaluations. Istanbul Commerce University Journal of Science, 6(11), 65-85.
Radhika, S., Kumar, D. S., & Swapna, D. (2013). VIKOR Method for Multi Criteria Decision Making in academic staff Selection. Journal of Production Research and Management, 3(2), 30-35.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Van Laarhoven P.J. M., & Pedrcyz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229-241.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, T. C., & Chen, Y. H. (2007). Applying consistent fuzzy preference relations to partnership selection. Omega, 35(4), 384-388.
Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications, 53, 1762–1772.
Wang, Y. M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31, 309–319.
Wang, Y. M., Yang, J. B., & Xu, D. L. (2005). A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy sets and systems, 152(3), 475-498.
Xu, R. (2000). Fuzzy least-squares priority method in the analytic hierarchy process. Fuzzy Sets and Systems, 112(3), 395-404.
Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making. Thousand Oaks, CA: Sage Publication.
Zadeh LA (1965). Fuzzy sets. Information Control, 8(3), 338–353.
Barber, A.E. (1998). Recruiting employees. Thousand Oaks. CA: Sage Publications.
Becker, G. S. (1995). Human capital and poverty alleviation. World Bank, Human Resources Development and Operations policy.
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233–247.
Capaldo, G., Zollo, G. (1992). Applying fuzzy logic to staff assessment: a case study. The International Journal of Management Science, 29, 585–597.
Chang, D.Y. (1992). Extent analysis and synthetic decision. Optimization Techniques and Applications, 1, 352-355.
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
Chen, C. T., Lin, C. T., & Huang, S. F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
Chen, G., & Pham, T. T. (2001). Introduction to fuzzy, sets fuzzy, logic and fuzzy control systems. Florida: CRC Press.
Chen, H. (2004). A research based on fuzzy AHP for multi-criteria supplier selection in supply chain. Master thesis, National Taiwan University of Science and Technology, Department of Industrial Management.
Chen, P. C. (2009). A Fuzzy Multiple Criteria Decision Making Model in Employee Recruitment”, IJCSNS International Journal of Computer Science and Network Security, 9 (7), 113-117.
Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Berlin: Springer-Verlag.
Cheng, C. H., Chen, C. T., & Huang, S. F. (2012). Combining fuzzy integral with order weight average (OWA) method for evaluating financial performance in the semiconductor industry. African Journal of Business Management, 6(21), 6358-6368.
Csutora, R., & Buckley, J. J. (2001). Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy sets and Systems, 120(2), 181-195.
Davoudi, M. R., & Sheikhvand, K. (2012). An approach towards enterprise architecture analysis using AHP and fuzzy AHP. International Journal of Machine Learning and Computing, 2(1), 46-51.
Demirel, T., Demirel, N. C., & Kahraman, C. (2010). Multi-criteria warehouse location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943-3952.
Deng, H. (1999). Multicriteria analysis with fuzzy pair-wise comparison. International Journal of Approximate Reasoning, 21, 215–231.
Enea, M., & Piazza, T. (2004). Project selection by constrained fuzzy AHP. Fuzzy Optimization and Decision Making (Vol. 3). New York: Kluwer Academic Publishers, 39–62.
Ghosh, D.N. (2011). Analytic Hierarchy Process & TOPSIS Method to Evaluate Faculty Performance in Engineering Education. Dipendra Nath Ghosh et al UNIASCIT, 1(2), 63-70.
Güng?r, Z., Serhadl?o?lu, G., & Kesen, S. E. (2009). A Fuzzy AHP approach to staff selection problem. Applied Soft Computing ,9, 641-646.
Hota H.S., Sirigiri Pavani, P.V.S.S. Gangadhar (2013). Evaluating Teachers Ranking Using Fuzzy AHP Technique. International Journal of Soft Computing and Engineering (IJSCE), 2(6), 2231-2307.
Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Berlin: Springer.
Jessop, A. (2004). Minimally biased weight determination in staff. Journal of Operation Research, 153, 433–444.
Kahraman, C., Cebeci, U., & Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey. International Journal of Production Economics, 87(2), 171-184.
Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics Information Management, 16(6), 382-394.
Kahraman, C., Ruan, D., & Do?an, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135-153.
Karsak, E. E. (2001).Staff selecting using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Multiple Criteria Decision Making in the New Millennium, Springer.
Karmaker, C. L., & Saha, M. (2015). Optimization of warehouse location through fuzzy multi-criteria decision making methods. Decision Science Letters, 4, 315–334 .
Kaufmann, A., & Gupta, M. M. (1991). Introduction to fuzzy arithmetic: theory and applications. Arden Shakespeare.
Kelemenis & D. Askounis (2010). A new TOPSIS-based multi-criteria approach to personnel selection. Expert Systems with Applications, 37, 4999-5008.
Kousalya, P., Ravindranath, V., & Vizayakumar, K. (2006). Student Absenteeism in Engineering Colleges: Evaluation of Alternatives Using AHP. Journal of Applied Mathematics and Decision Sciences, 1-26.
Kumar, D. S., Radhika, S., & Suman, K. N. S. (2013). MADM Methods for Finding The Right Personnel in Academic Institutions. International Journal of u- and e- Service, Science and Technology, 6(5), 133-144.
Liang, G. S. (1999). Fuzzy MCDM based on ideal and anti-ideal concepts. European Journal of Operational Research, 112(3), 682-691.
Liang, S., & Wang, M. J. J. (1994).Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78, 22–33.
Lootsma, F. A. (1999). Multi-criteria decision analysis via ratio and difference judgment. Kluwer Academic Publishers.
Mahapatra, S. S., & Khan, M. S. (2007). A Neural Network Approach for Assessing Quality in Technical Education: An Empirical Study. International Journal of Productivity and Quality Management, 2(3), 287-306.
Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega, 30, 393–401.
Mikhailov, L., & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing, 5(1), 23-33.
Miller, G. M., & Feinzing, S. L. (1993)Fuzzy sets and staff selection: discussion and application. Journal of Occupational and Organizational Psychology, 66, 163–169.
Neogi, A., Mondal, A. C., & Mandal, S. K. (2011). A Cascaded Fuzzy Inference System for University Non-Teaching Staff Performance Appraisal. Journal of Information Processing Systems, 7(4).
?zda?o?lu, A., & ?zda?o?lu, G. (2007). Comparison of AHP and fuzzy AHP for the multi-criteria decision making processes with linguistic evaluations. Istanbul Commerce University Journal of Science, 6(11), 65-85.
Radhika, S., Kumar, D. S., & Swapna, D. (2013). VIKOR Method for Multi Criteria Decision Making in academic staff Selection. Journal of Production Research and Management, 3(2), 30-35.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
Van Laarhoven P.J. M., & Pedrcyz, W. (1983). A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229-241.
Wang, T. C., & Chang, T. H. (2007). Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment. Expert Systems with Applications, 33, 870–880.
Wang, T. C., & Chen, Y. H. (2007). Applying consistent fuzzy preference relations to partnership selection. Omega, 35(4), 384-388.
Wang, Y. J., & Lee, H. S. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision-making. Computers and Mathematics with Applications, 53, 1762–1772.
Wang, Y. M., & Elhag, T. M. S. (2006). Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31, 309–319.
Wang, Y. M., Yang, J. B., & Xu, D. L. (2005). A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy sets and systems, 152(3), 475-498.
Xu, R. (2000). Fuzzy least-squares priority method in the analytic hierarchy process. Fuzzy Sets and Systems, 112(3), 395-404.
Yoon, K. P., & Hwang, C. L. (1995). Multiple attribute decision making. Thousand Oaks, CA: Sage Publication.
Zadeh LA (1965). Fuzzy sets. Information Control, 8(3), 338–353.