Manufacturing process performance prediction by integrating crisp and granular information

Journal of Intelligent Manufacturing

Volumn 16, Issue 3, 2005, Pages 317-330

  Ullah, A M M Sharif ^a   Harib, Khalifa H ^a  

^a UNITED ARAB EMIRATES UNIVERSITY   (United Arab Emirates)

Author keywords

F granular information; Fractal dimension; If Then rule; Imprecise probability; Intelligent process engineering

Indexed keywords

DECISION MAKING; FRACTALS; GRANULAR MATERIALS; INFORMATION RETRIEVAL; INTELLIGENT AGENTS; PROBABILITY; PROCESS ENGINEERING; STRATEGIC PLANNING;

F-GRANULAR INFORMATION; FRACTAL DIMENSION; IF-THEN RULE; IMPRECISE PROBABILITY; INTELLIGENT PROCESS ENGINEERING;

COMPUTER INTEGRATED MANUFACTURING;

EID: 21144434131     PISSN: 09565515     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10845-005-7026-3     Document Type: Article

References (15)

1. Dubois, D. and Prade, H. (eds). (2000) The Handbook of Fuzzy Sets: Fundamentals of Fuzzy Sets, Volume 7, Kluwer Academic Press, Dordrecht.
2. ISO. (1997) Geometrical Product Specifications-Surface texture: Profile method-Terms, definitions and surface texture parameters. 4287:1997.
3. Aliev, R. R. and Aliev, R. A. (2001) Soft Computing and Its Applications, Singapore: World Scientific Publication.
4. Brown, C. A., Johnsen, W. A. and Hult, K. M. (1998) Scale-sensitivity, fractal analysis and simulations. International Journal of Machine Tools and Manufacture, 38(5-6), 633-637.
5. Castillo, O. and Melin, P. (2003) Soft Computing and Fractal Theory for Intelligent Manufacturing, Heidelberg: Springer-Verlage.
6. Cooman, G. de. (2002) Precision-imprecision equivalence in a broad class of imprecise hierarchical uncertainty models, Journal of Statistical Planning and Inference, 105(1), 175-198.
7. Kantz, H. and Schreiber, T. (1997) Nonlinear Time Series Analysis, Cambridge: Cambridge Nonlinear Science Series 7. Cambridge University Press,
8. Mandelbrot, B. B. (1967) How long is the coast of Britain? Statistical self-similarity and fractional dimension. Science, 156, 636-638.
9. Moon, F. C. (1994) Chaotic Dynamics and Fractals in Material Removal Processes, In Chapter 2 of Non-linearity and Chaos in Engineering Dynamics, J. M. T. Thompson and S. R. Bishop (eds), John Wiley and Sons, New York.
10. Negnevitsky, M. (2002) Artificial Intelligence: A Guide to Intelligent Systems. Chapter 4: Uncertainty management in rule-based expert systems, Addison-Wesley, England, pp. 55-86.
11. Shortliffe, E. H. and Buchanan, B. G. (1975) A model of inexact reasoning in medicine. Mathematical Biosciences, 23(3-4), 351-379.
12. Ullah, A. M. M. S., Rahman, Md. R., Kachitvichyanuluk, V. and Harib, K. H. (2003) Fractal Dimension: A New Machining Decision-Making Parameter. Proceedings of the Forth International Conference on Intelligent Processing and Manufacturing of Materials (IPMM'03), 18-23 May 2003, Sendai, Japan.
13. Wally, P. (2000) Imprecise Probabilities: Overview. URL: http://ippserv.rug.ac.be.
14. Zadeh, L. A. (2002) Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. Journal of Statistical Planning and Inference, 105(1), 233-264.
15. Zadeh, L. A. (2001) A new direction of AI - toward a computational theory of perceptions, AI Magazine, 22(1), 73-84.