Managing manufacturing technology investments: An intelligent learning system approach

References

• Aamodt , A. and Plaza , E. 1994 . Artificial intelligence communications . AI Communs , 7 : 39 – 59 .
   Web of Science ®Google Scholar
• Abdel-Kader , M. G. , Dugdale , D. and Taylor , P. 1998 . Investment Decisions in Advanced Manufacturing Technology: A Fuzzy Set Theory Approach , Hampshire : Ashgate Publishing .
   Google Scholar
• Carpenter , G. A. and Grossberg , S. 1987 . A massively parallel architecture for a self-organizing neural pattern recognition machine . Comput. Vision, Graphics, Image Processing , 37 : 54 – 115 .
   Google Scholar
• Carpenter , G. A. and Grossberg , S. 1988 . The ART of Adaptive pattern recognition by a self-organising neural network . IEEE Comput , 21 : 77 – 88 .
   Google Scholar
• Carpenter , G. A. , Grossberg , S. , Markuzon , N. , Reynolds , J. H. and Rosen , D. B. 1992 . Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analogue multidimensional maps . IEEE Trans. Neural Networks , 3 : 698 – 712 .
   PubMed Web of Science ®Google Scholar
• Carpenter , G. A. , Grossberg , S. and Rosen , D. B. 1991 . Fuzzy ART: fast stable learning and categorisation of analogue patterns by an adaptive resonance system . Neural Networks , 4 : 759 – 771 .
   Web of Science ®Google Scholar
• Carpenter , G. A. and Tan , A. H. 1995 . Rule extraction: from neural architecture to symbolic representation . Connection Sci. , 7 : 3 – 27 .
   Google Scholar
• Chua , D. K.H. , Li , D. Z. and Chan , W. T. 2001 . Case-based reasoning approach in bid decision making . J. Construct. Engng , January/February : 35 – 45 .
   Google Scholar
• Garvin , D. and Roberto , M. 2003 . What you don't know about making decisions . Harv. Bus. Rev. , November HBR OnPoint Enhanced Edition
   Google Scholar
• Goh , W. Y. , Lim , C. P. and Peh , K. K. 2003 . Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time-series approach . IEEE Trans. Neural Networks , 14 : 459 – 463 .
   PubMedGoogle Scholar
• Gutpa , K. M. and Montazemi , A. R. 1997 . A connectionist approach for similarity assessment in case-based reasoning systems . Decision Support Systems , 19 : 237 – 253 .
   Google Scholar
• Hammond , J. S. , Keeney , R. L. and Raiffa , H. 1999 . Smart Choices: A Practical Guide to Making Better Decisions , Boston, MA : Harvard Business School Press .
   Google Scholar
• Kaplan , R. 1986 . Must CIM be justified by faith alone? . Harv. Bus. Rev. , March–April : 87 – 93 .
   Google Scholar
• Kolodner , J. 1991 . Improving human decision making through case-based decision aiding . AI Mag. , Summer
   Google Scholar
• Kosko , B. 1986 . Fuzzy entropy and conditioning . Inf. Sci. , 40 : 165 – 174 .
   Web of Science ®Google Scholar
• Lin , G. C.I. and Nagalingam , S. V. 2000 . CIM Justification and Optimisation , London : Taylor & Francis .
   Google Scholar
• Malek , M. and Amy , B. 1997 . “ A preprocessing model for integrating case-based reasoning and prototype-based neural network ” . In Connectionist-Symbolic Integration , Edited by: Sun , R. and Alexandre , F. Lawrence Erlbaum Associates .
   Google Scholar
• Mezgar , L. , Monostori , B. K. and Egresits , C. S. 2000 . “ Knowledge based hybrid techniques combined with simulation: application to robust manufacturing systems ” . In Knowledge-based Systems: Techniques and Applications , Edited by: Leondes , T. C. California : Academic Press .
   Google Scholar
• Park , J. H. , Im , K. H. , Shin , C. K. and Park , S. C. 2004 . MBNR: case-based reasoning with local feature weighting by neural network . Appl. Intell , 21 : 265 – 276 . (Special Issue: Soft computing in case-based reasoning, edited by T.S. Dillon, C.K. Shiu and S.K. Pal)
   Google Scholar
• Reategui , E. B. , Campbell , J. A. and Leao , B. F. 1997 . Combining a neural network with case-based reasoning in a diagnostic System . Artif. Intell. Med. , 9 : 5 – 27 .
   PubMedGoogle Scholar
• Tan , S. C. and Lim , C. P. 2004 . Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant . IEEE Trans. Energy Conversion , 19 : 369 – 377 .
   Web of Science ®Google Scholar
• Tan , K. H. and Platts , K. 2003 . Linking objectives to action plans: a decision support approach based on the connectance concept . Decision Sci. J. , 34 : 569 – 593 .
   Web of Science ®Google Scholar
• Tan , K. H. , Lim , C. P. , Platts , K. and Koay , H. S. 2004 . “ A knowledge-based approach to evaluating manufacturing technology ” . In Pre-prints of 13th International Working Seminar on Production Economics , Vol. 1 , 217 – 231 . Sweden : Linkoping University .
   Google Scholar
• Tsatsoulis , C. and Williams , A. 2000 . “ Case-based reasoning ” . In Knowledge-based Systems: Techniques and Applications , Edited by: Leondes , T. C. California : Academic Press .
   Google Scholar
• Yang , B. S. , Han , T. and Kim , Y. S. 2004 . Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis . Expert Systems Applic. , 26 : 387 – 395 .
   Google Scholar
• Yen , J. , Yen , R. and Zadeh , L. A. , eds. 1995 . Industrial Applications of Fuzzy Logic and Intelligent Systems , IEEE Press .
   Google Scholar
• Zadeh , L. A. 1965 . Fuzzy sets . Inf. Control , 8 : 338 – 353 .
   Web of Science ®Google Scholar