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Optimization of imprecise decision tables
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Source ACM Southeast Regional Conference archive
Proceedings of the 18th annual Southeast regional conference table of contents
Tallahassee, Florida
SESSION: General topics in computer science I - GCS I table of contents
Pages: 55 - 60  
Year of Publication: 1980
ISBN:0-89791-014-1
Author
Joan Francioni  Florida State University, Tallahassee, Florida
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bellman, R. E. 8 Giertz, M. On the analytic formalism of the theory of fuzzy sets. Information Sciences, 1973, 149-156.
 
2
Ben-David, M. On the properties of fuzzy switching functions. Master Thesis, Department of Computer Science. New Mexico Institute of Mining and Technology, Sceorro, New Mexico, August, 1978.
 
3
Black, M. Reasoning with loose concepts. Dialogue, 1973, 2, 1-12.
 
4
Brown, J. G. Fuzzy sets on Boolean Lattices. Memo. Rep. No. 1957, Ballistic Research Laboratories, 1969.
5
 
6
Das, S.R., Khabra, N. S. Clause-column table approach for generating all the prime implicants of swutching functions. Technical Report No. 72-74, Department of Electrical Engineering, Faculty of Science and Engineering, University of Ottawa, Ottawa, Canada, 1972.
 
7
Decision tables: A system analysis and documentation technique. IBM General Information Manual F20-8102, IBM Corp., White Plains, New York, 1962.
 
8
Geguen, J. A. L-fuzzy sets. Journal of Mathematical Analysis Applications, 1967, 145-174.
 
9
Goguen, J. A. Categories of fuzzy sets: Applications of non-cantorian set theory. Ph.d. Thesis, University of California, Berkeley, California, 1958.
 
10
Humby E. Programs from decision tables. New York: Amer. Elsevier, 1973.
 
11
Kandel, A. On minimization of fuzzy functions. IEEE Transactions on Computers, 1973, C-22(9), 826-832.
 
12
Kandel, A. On minimization of incompletely specified fuzzy functions. Information and Control, 1974, 26(2), 141-153. (a)
 
13
Kandel, A. On the properties of fuzzy switching functions. Journal of Cybernetics, 1974, 4(1), 119-126. (b)
 
14
Kandel, A. A note on the simplification of fuzzy switching functions. Information Sciences, 1977, 13, 91-94.
 
15
 
16
Kavanagh, T. F. TAHSOL - The language of decision making. Computers and Automation, 1961, 10 (9:15), 18-22.
 
17
Lee, T. C. T., g Chang, C. L. Some properties of fuzzy logic.Information and Control, 1971, 19, 417-431.
 
18
 
19
 
20
Montalbano, M. Tables, flow charts, and program logic. IBM System Journal, 1962, 51-53.
 
21
Montalbano, M. Decision Tables. Chicago: Science Research Associates, Inc., 1974.
 
22
Myers, H. J. Compiling optimized code from decision tables. IBM Journal of Research and Development, 1972, 16(5).
 
23
Pollack, S. L., Hicks, H. T. Harrison, W. J. Decision tables: Theory and practice. New ork: Wiley (Interscience), 1971.
24
25
 
26
Richman, S. M. Kandel, A. Column Table approach for the minimization of fuzzy functions. Information Sciences, 1977, 12, 111-128.
 
27
Sly, P., & Chen, C. S. Minimization of fuzzy functions. IEEE Transactions on Computers, 1972 C-21, 100-102.
28
 
29
Zadeh, L. A. Fuzzy sets. Information and Control, 1965, 8, 338-353.
 
30
Zadeh, L. A. A fuzzy-algorithmic approach to the definitions of complex or imprecise concepts. International Journal of Man-Machine Studies, 1976, 8 249-291.