Constructing a fuzzy-knowledge-based-system: An application for assessing the financial condition of public schools

Expert Systems with Applications

Volumn 27, Issue 3, 2004, Pages 349-364

  Ammar, Salwa ^a   Duncombe, William ^b   Jump, Bernard ^b   Wright, Ronald ^a  

^a LE MOYNE COLLEGE   (United States)

^b SYRACUSE UNIVERSITY   (United States)

Author keywords

Financial evaluation; Fuzzy logic; Knowledge based systems; Performance evaluation

Indexed keywords

ACCREDITATION; BENCHMARKING; FINANCE; FUZZY SETS; MANAGEMENT SCIENCE; PRODUCTIVITY; SOCIETIES AND INSTITUTIONS;

FINANCIAL EVALUATIONS; PERFORMANCE EVALUATIONS; PERFORMANCE MANAGEMENT;

KNOWLEDGE BASED SYSTEMS;

EID: 3242757557     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2004.05.004     Document Type: Article

References (27)

1. Ammar S., Duncombe W., Bifulco R., Wright R.H. Consistency in fuzzy rule-based systems: an application in elementary education performance evaluation. Proceedings of 18th International Conference of the North American Fuzzy Information Processing Society, New York, NY. 1999;. pp. 120-124.
2. Ammar S., Dumcombe W., Wright R. Evaluating capital management: a new approach. Public Budgeting and Finance. 21:(4):2001;47-69.
3. Ammar S., Dumcombe W., Hou Y., Wright R. Evaluating city financial management using FRBS. Public Budgeting and Finance. 21:(4):2001;70-90.
4. Ammar S., Dumcombe W., Hou Y., Jump B., Wright R. Using fuzzy rule-based systems to evaluate overall financial performance of governments: an enhancement to the bond rating process. Public Budgeting and Finance. 21:(4):2001;91-110.
5. Ammar S., Wright R., Selden S. Ranking state financial management: a multi-level fuzzy rule based system. Decision Sciences. 31:(2):2000;449-481.
6. Barrett K., Greene R. Grading the states. Governing. 12:1999;17-90.
7. Berne R., Schramm R. The financial analysis of governments. 1986;Prentice-Hall, Englewood Cliffs, NJ.
8. Bezdek J.C. Fuzzy models - what are they, and why? IEEE Transactions on Fuzzy Systems. 1:1993;1-5.
9. Dearborn P. Fiscal conditions in large American cities, 1971-1984. McGeary M., , et al. Urban Change and Poverty. 1988;National Academy Press, Washington DC.
10. Dubois D., Prade H. Possibility theory. 1988;Plenum Press, New York, NY.
11. Durkin J. Expert systems: catalog of applications. 1993;Intelligent Computer Systems Inc, Akron, OH.
12. Fitch Ratings. Local government general obligation rating guidelines. Tax supported special report. May 23:2000;. pp. 1-11.
13. Fried H.O., Lovell C.K., Schmidt S.S. The measurement of productive efficiency. 1993;Oxford University Press, New York, NY.
14. Ganley J.A., Cubbin J.S. Public sector efficiency measurement. 1992;North-Holland, Amsterdam.
15. Gold S. State government fund balances, financial assets, and measures of budget surplus. in Federal-state-local fiscal relations, Technical Papers. vol. 2:1986;US Department of the Treasury, Washington DC. p. 596.
16. Ladd H., Yinger J. America's ailing cities: fiscal health and the design of urban policy. 1989;The Johns Hopkins University Press, Baltimore.
17. Mead D. Assessing the financial condition of public school districts. Selected papers in school finance, 2000-2001. 2001;National Center for Education Statistics, Washington, DC.
18. Moody's Investors Service. The determinants of credit quality. Municipal Credit Research. November:1999;1-16.
19. Nollenberger K. Evaluating financial condition: a handbook for local government. 2003;ICMA, Washington DC.
20. Office of the State Comptroller. Financial condition analysis. Local government management guide. 2002;Office of the State Comptroller, Albany, NY.
21. Rossi P.H., Freeman H.E. Evaluation: a systematic approach. 1993;SAGE, Newbury Park, CA.
22. Saaty T.L. The analytic hierarchy process. 1980;McGraw-Hill, New York, NY.
23. Selden S., Jacobson W., Ammar S., Wright R. A new approach to assessing performance of state human resource management systems: a multi-level fuzzy rule-based system. Review of Public Personnel Administration. 20:(3):2000.
24. Standard and Poor's. Public finance criteria. 2000;Standard and Poor's, New York.
25. Thanassoulis E. Data envelopment analysis and its use in banking. Interfaces. 29:1999;1-13.
26. Treadwell W.A. Fuzzy set theory movement in the social sciences. Public Administration Review. 55:1995;91-98.
27. US Securities and Exchange Commission. Report on the role and function of credit rating agencies in the operation of the securities markets. 2003;US Securities and Exchange Commission, Washington DC.