Abstract
In recent years, some methods have been presented for appraising the performance of high school teachers. In this paper, we present a new method for appraising the performance of high school teachers based on simplified fuzzy number arithmetic operations. The proposed method uses fuzzy numbers to represent fuzzy grades, where the fuzzy weights of criteria are automatically generated from the opinions of evaluators. The proposed method can appraise the performance of high school teachers in a more flexible and more intelligent manner.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Biswas, R.: An application of fuzzy sets in students evaluation. Fuzzy Sets and Systems 74, 187–194 (1995)
Chang, D.F., Sun, C.M.: Fuzzy assessment of learning performance of junior high school students. In: Proceedings of the 1993 First National Symposium on Fuzzy Theory and Applications, Hsinchu, Taiwan, Republic of China, pp. 10–15 (1993)
Chen, L.S., Cheng, C.H.: Selecting IS personnel using ranking fuzzy number by metric distance method. European Journal Operational Research 160, 803–820 (2005)
Chen, S.M.: A weighted fuzzy reasoning algorithm for medical diagnosis. Decision Support Systems 11, 37–43 (1994)
Chen, S.M.: A new approach to handling fuzzy decision making problems. IEEE Transactions on Systems, Man, and Cybernetics 18, 1012–1016 (1988)
Chen, S.J., Chen, S.M.: A new method for handling multicriteria fuzzy decision-making problems using FN-IOWA operators. Cybernetics and Systems: An International Journal 34, 109–197 (2003)
Chen, S.M., Lee, C.H.: New methods for students evaluation using fuzzy sets. Fuzzy Sets and Systems 104, 209–218 (1999)
Cheng, C.H., Yang, K.L.: Using fuzzy sets in education grading system. Journal of Chinese Fuzzy Systems Association 4, 81–89 (1998)
Cheng, C.H., Wang, J.W., Tsai, M.F., Huang, K.C.: Appraisal support system for high school teachers based on fuzzy linguistic integrating operation. Journal of Human Resource Management 4, 73–89 (2004)
Chiang, T.T., Lin, C.M.: Application of fuzzy theory to teaching assessment. In: Proceedings of the 1994 Second National Conference on Fuzzy Theory and Applications, Taipei, Taiwan, Republic of China, pp. 74–92 (1994)
Kaufmann, A., Gupta, M.M.: Fuzzy Mathematical Models in Engineering and Management Science. North-Holland, Amsterdam (1988)
Law, C.K.: Using fuzzy numbers in education grading system. Fuzzy Sets and Systems 83, 311–323 (1996)
Lee, E.S., Li, R.L.: Comparison of fuzzy numbers based on the probability measure of fuzzy events. Computer and Mathematics with Applications 15, 887–896 (1988)
Ma, J., Zhou, D.: Fuzzy set approach to the assessment of student-centered learning. IEEE Transactions on Education 43, 237–241 (2000)
Nolan, J.R.: An expert fuzzy classification system for supporting the grading of student writing samples. Expert Systems with Applications 15, 59–68 (1998)
Wu, M.H.: A research on applying fuzzy set theory and item response theory to evaluate learning performance. Master Thesis, Department of Information Management, Chaoyang University of Technology, Wufeng, Taichung Country, Republic of China (2003)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Zimmermann, H.J.: Fuzzy Set Theory and It’s Applications. Kluwer-Nijhoff, Dordrecht (1991)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, CH., Chen, SM. (2006). A New Method for Appraising the Performance of High School Teachers Based on Fuzzy Number Arithmetic Operations. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_47
Download citation
DOI: https://doi.org/10.1007/11779568_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35453-6
Online ISBN: 978-3-540-35454-3
eBook Packages: Computer ScienceComputer Science (R0)