參考文獻 |
1. Abel, D. (1991) Fuzzy Control - eine Einfiihrung ins Unscharfe. Automatisierungstechnik, vol. 39, No. 12, pp. 433-438.
2. Akaiwa, E. (1990) “Hardware and software of fuzzy logic controlled cardiac pacemaker,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 549-552.
3. Altrock, C., Krause, B., Zimmermann, H. J. (1992) “Advanced fuzzy logic control of a model car in extreme situations,” Fuzzy Sets and Systems, vol. 48, No. 1, pp. 41-52.
4. Andrzej, P. (2001) Fuzzy Modeling and Control. Physica-Verlag, Aspringer-Verlag Company. New York
5. Aoki, S., Kawachi S. (1990) “Application of fuzzy control for dead-time processes in a glass melting furnace,” Fuzzy Sets and Systems, vol. 38, No. 5, pp. 251-256
6. Arita, S., Tsutsui, T. (1990) “Fuzzy logic control of blood pressure through inhalational anesthesia,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 545-547
7. Arita, S. (1991) “Development of an ultrasonic cancer diagnosis system using fuzzy theory,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 215-230
8. Ashe, J. (2000) “THE WORKING CAPITAL EXPERIENCE: Ten Years of Lending and Learning,” Brandeis University
9. Assilian, S. (1974) Artificial intelligence in the control of real dynamical systems. Ph.D. Thesis, London University
10. Babuska R., Verbruggea H.B. (1995a) A new identification method for linguistic fuzzy models. Proceedings of the international conference FUZZ-IEEE/IFES'95. Yokohama, Japan, pp. 905-912
11. Babuska R. (1995b) Fuzzy modeling a control engineering perspective Proceedings of the international Conference FUZZ-IEEE/IFES'95 Yokohama, Japan, pp. 1897-1902
12. Baldwin J.F. (1995a) Fril method for soft computing, fuzzy control and classification. Proceedings of the International Conference FUZZ-IEEE/IFES'95, vol. 1. Yokohama, Japan, pp. 309-316
13. Baldwin J.F., Martin T P. (1995b) Fuzzy modeling in an Intelligent Data Browser. Proceedings of the International Conference FUZZ-IEEE/IFES'95, vol. 4. Yokohama, Japan, pp. 1885-1890
14. Bellon, C., Bosc, P., Prade, H. (1992) “Fuzzy boom in Japan,” International Journal of Intelligent Systems, No. 7, pp. 393-316.
15. Bezdek J.C. (1981) Pattern recognition with fuzzy objective function algorithms. New York: Plenum Press
16. Bezdek J.C., Ehrilch R., Full W. (1984) FCM; the fuzzy c-means clustering algorithm. Computer and Geosciences, No. 10, pp. 191-203
17. Bezdek J.C. (1993) Editorial. Fuzzy models-what are they, and why? IEEE Transactions on Fuzzy Systems, vol. 1, No. 1, pp. 1-6
18. Bien, Z., Hwang, D.H., Lee, J.H., Ryu, H.K. (1992) “An automatic start-up and shutdown control of a drum-type boiler using fuzzy logic,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 465-468.
19. Brawn M., Ullrich T. (1997) Comparison of node insertion algorithms for Delaunay networks. Proceedings of the IMACS 2nd Mathmod Conference. Vienna, Austria, pp. 775-780
20. Brown M., Harris C. (1994) Neuro-fuzzy adaptive modelling and control. Preutice Hall, New York, USA
21. Brown M., Bossley K.M., Mills D.J., Harris C.J. (1995a) High dimensional neurofuzzy systems: overcoming the curse of dimensionality. Proceedings of the International Conference FUZZ-IEEE/IFES'95. Yokohama, Japan. pp. 2139-2146
22. Brown M., An P.E., Harris G.J. (1995b) On the condition of neuro-fuzzy models. Proceedings of the International Conference FUZZ-IEEE/IFES'95, vol. 2. Yokohama, Japan, pp. 663-670
23. Bubshalt, A.A. and Al-Gobali, K.H., (1996) “Contractor Prequalification in Saudi Arabia,” Journal of Management in Engineering, ASCE, Vol.12, No.2, pp.50-54.
24. Chen, H., Mitzumoto, M., Ling, Y. F. (1992) “Automatic control of wewerege pumpstation by using fuzzy controls and neural networks,” Proceedings of the second International Conference on Fuzzy Logic and Neural Networks. Iizuka, Japan, pp. 91-94
25. Deloof, M. (2001) “Does Working Capital Management Affect Profitability of Belgian Firms?” Working Papers, University of Antwerp
26. Driankov, D., Hellendoorn, H., Reinfrank, M. (1993) An introduction to fuzzy control Berlin: Springer-Verlag
27. Edum-Fotwe, F., Price, A. and Thorpe, A., (1996) “A review of financial ratio tools for contractor insolvency,” Construction Management and Economics, 14, pp.189-198.
28. Fijiwara, Y. (1991) “Image processing using fuzzy logic for video print systems,” Proceedings of the International Conference IFES'91, vol. 2. Tokyo, Japan, pp. 1003-1012.
29. Fujimoto, J., Nakatani, T., Yoneyama, M. (1989) “Speaker-independent word recognition using fuzzy pattern matching,” Fuzzy Sets and Systems, vol. 32, No. 7, pp. 181-191.
30. Fujiyoshi, M., Shiraki, T. (1992) “A fuzzy automatic combustion control system of refuse incineration plant,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 469-472.
31. Guney, Y, Ozkan, A. and Ozkan, N, (2003) “Additional International Evidence on Corporate Cash Holdings" EFMA 2003 Helsinki Meetings. (http://ssrn.com/abstract=406721 )
32. Hakata, T., Masuda, J. (1990) “Fuzzy control of cooling system utilizing heat storage,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 77-80.
33. Hanakuma, Y. (1989) “Ethylen plant destination column bottom temperature control,” Keisi, vol 32, No. 8, pp. 28-39.
34. Hassim, S., Kadir, M. R. A., Lew, Y.-L. and Sim, Y.-C. (2003) “Estimation of Minimum Working Capital for Construction Projects in Malaysia,” Journal of Construction Engineering and Management, Vol. 129, No. 4, July/August, pp. 369-374
35. Hishida, N. (1992) “Development of the operator support system applying fuzzy algorithms for glass tube molding equipment,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 1097-1100.
36. Hiyama, T., Sameshima, T. (1991) “Fuzzy logic control scheme for on-line stabilisation of multi-machine power system,” Fuzzy Sets and Systems, vol. 39, pp. 181-194.
37. Homonoff, R. B. (1972) “Cash management: applications and extensions of the Miller-Orr control limit approach,” Master Thesis
38. Hung T., Sugeno M., Tong R., Yager R.R. (1995) Theoretical aspects of fuzzy control. New York- John Wiley and SODS Inc.
39. Hwee, N. G., Tiong, R. L. K. (2002) “Model on cash flow forecasting and risk analysis for contracting firms,” International Journal of Project Management, 20 , 351–363.
40. Kacprzyk J. (1977) Control of a nonfuzzy systems in a fuzzy environment with a fuzzy termination time. Systems Science, No. 3, pp. 320-334
41. Kageyama, S. (1990) “Blood glucose control by a fuzzy control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 557-560.
42. Kahlert J. (1995) Fuzzy Control fur Ingenieure. Vieweg Verlag. Braunschweig, Germany
43. Kaka, A., P., (1994) “Contractors’ financial budgeting using computer simulation,” Construction Management and Economics, 12, pp.113-124.
44. Kandel A., Langbolz G. (1994) Fuzzy Control Systems. London: CRC Press
45. Kaufmaim A., Gupta M. (1985) Introduction to fuzzy arithmetic-theory and applications. New York: Van Nostrand Remhold
46. Kawai, H. (1990) “Engine control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 929-937.
47. Kitamura, T. (1991) “Design of intelligent support system for artificial heart control,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 231-240
48. Kruse, R., Gobhard J., Klawona F. (1994) Foundations of Fuzzy Systems. New York: John Wiley and Sons
49. Kuhn, T., Wernstedt J. (1996) Robust design of fuzzy control. Proceedings of the International Conference EUFIT'96, vol. 2. Aachen, Germany, pp. 970-973
50. Kytönen, E. (2004) “CASH MANAGEMENT BEHAVIOR OF FIRMS AND ITS STRUCTURAL CHANGE IN AN EMERGING MONEY MARKET,” University of Oulu, Finland
51. Lee, K.C., Min, S.S., Song, J.W., Cho, K.B. (1992) “An adaptive fuzzy current controller with neural network for field-oriented controlled induction machine,” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 449-452
52. Lo, N. (2005) “GO WITH THE FLOW: For the top tier of performers in this year’s ranking, the challenge is keeping working capital cool as markets get hot,” THE MAGAZINE FOR FINANCIAL DIRECTORS AND TREASURERS, http://www.cfoasia.com/archives/200503-02.htm
53. Mamdani, E.H. (1997) “Application of fuzzy logic to approximate reasoning using linguistic synthesis,” IEEE Transactions on Computers, vol. C-26, No. 12, pp. 1182-1191.
54. Miskawi, Z., (1989) “An S-curve equation for project control,” Construction Management and Economics, 7, pp.115-124.
55. Murakami, S. (1989) “Weld-line tracking control of arc welding robot using fuzzy logic controller,” Fuzzy Sets and Systems, 1989, vol. 32, pp. 221-237.
56. Neves, J. C.and Valadas, J. (2005) “Cash cycle management, profitability and size: An empirical study onPortuguese companies,” 28th Annual Congress of the European Accounting Association,Gothenburg, pp18-20.
57. Nguyen T.H., Sugeno M., Tong R., Yager R.R. (1995) Theoretical aspects of fuzzy control. New York: John Wiley and Sons, Inc.
58. Ohnishi, T. (1991) “A self-learning fuzzy control system for an urban refuse incineration plant,” Japanese Journal of Fuzzy Theory and Systems, vol. 3. No. 2, pp. 187-200.
59. Opler, T., Pinkowitz, L., Stulz, R., Williamson, R. (1999) “The determinants and implications of corporate cash holdings,” Journal of Financial Economics ,52 ,pp. 3-46
60. Ozkan, A. and Ozkan, N. (2004) “Corporate cash holdings: An empirical investigation of UK companies,” Journal of Banking & Finance, 28, pp. 2103–2134.
61. Pedrycz W. (1993) Fuzzy control and fuzzy systems. New York: John Willey and Sons 238. Pedrycz W. (1995) Fuzzy control engineering: reality and challenges. Proceedings of the International Conference FUZZ-IEEE/IFES'95, vol. 1. Yokohama, Japan, pp. 437-446.
62. Pedrycz W. (1996) Fuzzy multi-models. IEEE Transactions on Fuzzy Systems, vol. 4, No. 2, pp. 139-148.
63. Pricewaterhousecoopers, LTD. (2004)“As active Working Capital management increases the performance: Results of a long-term analysis (1997-2002) with boersenkotierten enterprises in Switzerland ,” http://www.pricewaterhousecoopers.co.uk/ch/ger/ins-sol/survey-rep/download/pwc_0604_wcm_d.pdf
64. Ruoning, X., (1997) “S-curve regression model in fuzzy environment,” Fuzzy Set and System, 90, pp.317-326.
65. Russell, J.S. and Skibniewwski, M.J., (1988) “Decision Criteria in Contractor Prequalification,” Journal of Management in Engineering, ASCE, Vol.4, No.2, pp.148-164.
66. Sugiura T. (1991) “Fuzzy control of a rate-adaptive cardiac pacemaker with multiple indicators,” Japanese Journal of Fuzzy Theory and Systems, vol. 3, No. 3, pp. 241-249.
67. Roffel, B., Chin, P.A. (1991) “Fuzzy control of a polymerization reactor,” Hydrocarbon Processing, No. 6, pp. 47-50.
68. Sasaki T., Akiyama T. (1988) Traffic control process of expressway by fuzzy logic. Fuzzy Sets and Systems, vol. 26, pp. 165-178.
69. Takagi T., Sugeno M. (1985) “Fuzzy identification of systems and its applications to modeling and control.” IEEE Transactions on Systems, Man and Cybernetics, vol. 15, No. 1, pp. 116-132.
70. Takahashi, M. (1990) “Biomedical applications of fuzzy logic controllers,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, vol. 1. lizuka, Japan, pp. 553-556.
71. Tarawneh, S. A. (2004) “Evaluation of Pre-qualification Criteria: Client Perspective; Jordan Case Study,” Journal of Applied Sciences 4 (3): pp.354-363.
72. Tobi, T., Hanaflisa, T. (1991) “A practical application of fuzzy control for an air-conditioning system,” International Journal of Approximate Reasoning, No. 5, pp. 331-348.
73. Wang, H.O., TanakaK, Griffin M. (1996) An approach to fuzzy control of nonlinear system: stability and design issues. IEEE Transaction on Fuzzy Systems, vol. 4, No. I, pp. 14-23
74. Wang L.X (1994a) Adaptive fuzzy systems and control, design and stability analysis. Englewood Cliff's: Prentice Hall
75. Wang L.X. (1994b) A supervisory controller for fuzzy control systems that guarantees stability. IEEE Transactions on Automatic Control, vol. 39, No. 9, pp. 1845-1847
76. Wang L.X. (1995a) Design and analysis of fuzzy identifiers of nonlinear dynamic systems. IEEE Transactions on Automatic Control, vol. 40, No. 1. pp. 11-23
77. Wang L.X., Jordan J.R. (1995b) The robust step performance of PID and fuzzy logic controlled SISO systems. Proceedings of the International Conference FUZZ-IEEE/IFES'95, vol. 1. Yokohama, Japan, pp. 325-330
78. Watanabe, T. (1990) “Al and fuzzy-based tunnel ventilation control system,” Proceedings of the First International Conference on Fuzzy Logic and Neural Networks, vol. 1. lizuka, Japan, pp. 71-75
79. Watanabe, T., Ichihashi, H. (1991) “Iterative fuzzy modeling using membership function of degree n and its application to crane control,” Japanese Journal on Fuzzy Theory and Systems, vol. 3, No. 2, pp. 173-186
80. Yager, R.. Filev, D. (1994) Essentials of fuzzy modeling and control. New York: John Wiley and SODS
81. Yamashita, R., Yamakawa, T. (1992) “Application of fuzzy control to a localized cleanroom.” Proceedings of the Second International Conference on Fuzzy Logic and Neural Networks, lizuka, Japan, pp. 1101-1102.
82. Yu, C., Cao, Z., Kaudel, A. (1990) “Application of fuzzy reasoning to the control of an activated sludge plant.” Fuzzy Sets and Systems, vol. 38, No I, pp. 1-14.
83. Zadeh, L.A. (1965) “Fuzzy sets,” Information and Control, vol. 8, pp. 338-353.
84. Zadeh, L.A. (1973) “Outline of a new approach to the analysis of complex systems and decision processes” IEEE Transactions on Systems, Man and Cybernetics, vol. 3, pp. 28-44.
85. Zimmerman, H. J. (1994) Fuzzy set theory and its applications, London. Kluwer Academic Publishers
86. 石東生、謝俊明(2000),「泥水工職業性皮膚病調查研究與改善對策」,中華公共衛生雜誌,第十九卷第六期。
87. 朱凌毅(2005),從財務分析觀點研究2004年營造產業經營管理,財團法人中華民國營造業研究發展基金會(http://www.cifrd.org.tw/research/download/94052303.pdf)
88. 沈景鵬(2003),”土木工程產業發展策略”,土木水利半月集,第七十三集(http://www.ciche.org.tw/semimonth/vol73.htm) |