Fuzzy logic modeling for performance appraisal systems a framework for empirical evaluation

Expert Systems with Applications

Volumn 14, Issue 3, 1998, Pages 323-328

  Shaout, Adnan ^a   Al Shammari, Minwir ^b  

^a UNIVERSITY OF MICHIGAN DEARBORN   (United States)

^b UNIVERSITY OF BAHRAIN   (Bahrain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0037759408     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0957-4174(97)00085-7     Document Type: Article

References (23)

1. Bezdek, J. (1994). Fuzzy models - what are they, and why? In R. J. Marks (Ed.), Fuzzy Logic Technology and Applications (pp. 3-7), IEEE Technology Update Series. Piscataway, NJ: Technical Activities Board.
2. Bretz R., Milkovich G., & Read W. (1992). The current state of performance appraisal research and practice: concerns, directions, and implications. Journal of Management, 18, 321-352.
3. Cameron K. (1986). Effectiveness as a paradox: consensus and conflict in conceptions of organizational effectiveness. Management Science, 32, 5.
4. Cannavacciuolo, A., Capaldo, G., Ventre, A. and Zollo, G. (1994). Linking the fuzzy set theory to organizational routines. In R. J. Marks (Ed.), Fuzzy Logic Technology and Applications (pp. 515-520), IEEE Technology Update Series. Piscataway, NJ: Technical Activities Board.
5. Cleveland J. N., Murphy K. R., & Williams R. E. (1989). Multiple uses of performance appraisal: prevalence and correlates. Journal of Applied Psychology, 74, 130-135.
6. Cox, E. (1994). The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using and Maintaining Fuzzy Systems. Boston, MA: AP Professional.
7. DeVries, D. L., Morrison, A. M., Shullman, S. L. and Gerlach, M. L. (1986). Performance Appraisal on the Line. Greensboro, NC: Center for Creative Leadership.
8. Feild H. S., & Holley W. H. (1982). The relationship of performance appraisal system characteristics to verdicts in selected employment discrimination cases. Academy of Management Journal, 25, 392-406.
9. Gaugler B., & Rudolph A. (1992). The influence of assessee performance variation on assessors' judgments. Personnel Psychology, 45, 77-98.
10. Horowitz I., & Zappe C. (1995). The linear programming alternative to policy capturing for eliciting criteria weights in the performance appraisal process. Omega, International Journal of Management Science, 23 (6), 667-676.
11. Ilgen D., Barnes-Farrell J., & McKellin D. (1993). Performance appraisal process research in the 1980s: what has it contributed to appraisals in use? Organizational Behavior and Human Decision Process, 54, 321-368.
12. Kurosu, K., Furuya, T., Nakamura, M., Utsunomiya, H. and Soeda, M. (1994). Dynamics and fuzzy control of a group. In R. J. Marks (Ed.), Fuzzy Logic Technology and Applications (pp. 503-508), IEEE Technology Update Series. Piscataway, NJ: Technical Activities Board.
13. Mathis, R. L. and Jackson, J. H. (1994). Human Resource Management. Minneapolis/St. Paul, MN: West Publishing Company.
14. Narasimhan R. (1979). A fuzzy subset characterization of a site-selection problem. Decision Sciences, 10 (4), 618-628.
15. Orton D., & Weik K. (1990). Loosely coupled system: a reconceptualization. Academy of Management Review, 15 (2), 203-223.
16. Schuler, R. S. and Huber, V. L. (1993). Personnel and Human Resource Management. Minneapolis/St. Paul, MN: West Publishing Company.
17. Schwenk C. (1984). Cognitive simplification process in strategic decisionmaking. Strategic Management Journal, 5, 111-128.
18. Takayanagi, S. and Cliff, N. (1994). The fuzziness index for examining human statistical decision-making. In R. J. Marks (Ed.), Fuzzy Logic Technology and Applications (pp. 509-514), IEEE Technology Update Series. Piscataway, NJ: Technical Activities Board.
19. Talbot, C. J. (1988). Scheduling TV advertising: an expert systems approach to utilizing fuzzy knowledge. Proceedings of the Fourth Australian Conference on Applications of Expert Systems, Sydney, Australia.
20. Zadeh L. A. (1965). Fuzzy sets. Information and Control, 8, 338-352.
21. Zadeh, L. A. (1992). Knowledge representation in fuzzy logic. In R. R. Yager and L. A. Zadeh (Eds.), An Introduction to Fuzzy Logic Applications in Intelligent Systems (pp. 1-125). Boston, MA: Kluwer Academic.
22. Zimmermann, H. J. (1986). Fuzzy set theory and mathematical programming. In A. Jones et al. (Eds.), Fuzzy Sets Theory and Applications (pp. 99-114).
23. Zimmermann, H. J. (1992). Methods and applications of fuzzy mathematical programming. In R. R. Yager and L. A. Zadeh (Eds.), An Introduction to Fuzzy Logic Applications in Intelligent Systems (pp. 97-120). Boston, MA: Kluwer Academic.