Determination of ranged sets of design specifications by incorporating design-space heterogeneity

References

• Alisantoso , D. , Khoo , L. P. , Ivan Lee , B. H. and Fok , S. C. 2005 . A rough set approach to design concept analysis in a design chain . The International Journal of Advanced Manufacturing Technology , 26 ( 5–6 ) : 427 – 435 .
   Web of Science ®Google Scholar
• Chen , W. , Allen , J. K. and Mistree , F. 1997 . The robust concept exploration method for enhancing concurrent systems design . Concurrent Engineering: Research and Applications , 5 ( 3 ) : 203 – 217 .
   Web of Science ®Google Scholar
• Chen , W. and Yuan , C . 1999 . A probabilistic design model for achieving flexibility in design . ASME Journal of Mechanical Design , 121 ( 1 ) : 77 – 83 .
   Web of Science ®Google Scholar
• Cooper , A. , Georgiopoulos , P. , Kim , H. M. and Papalambros , P. Y. 2006 . Analytical target setting: an enterprise context in optimal product design . ASME Journal of Mechanical Design , 128 ( 1 ) : 4 – 13 .
   Web of Science ®Google Scholar
• Farhang-Mehr , A. and Azarm , S. 2003 . An information-theoretic entropy metric for assessing multi-objective optimization solution set quality . ASME Journal of Mechanical Design , 125 ( 4 ) : 655 – 663 .
   Web of Science ®Google Scholar
• Ford , D. N. and Sobek Jr , D. K. 2005 . Adapting real options to new product development by modeling the second Toyota paradox . IEEE Transactions on Engineering Management , 52 ( 2 ) : 175 – 185 .
   Web of Science ®Google Scholar
• Ge , P. , Lu , S. C-Y. and Bukkapatnam , S. T.S. 2005 . Supporting negotiations in the early stage of large-scale mechanical system design . ASME Journal of Mechanical Design , 127 ( 6 ) : 1056 – 1067 .
   Google Scholar
• Hinneburg , A. and Keim , D. A. An efficient approach to clustering in large multimedia database with noise . Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD98) . New York. pp. 58 – 65 . American Association for Artificial Intelligence Press .
   Google Scholar
• Huang , H-Z. , Wu , W-D. and Liu , C-S. 2005a . A coordination method for fuzzy multi-objective optimization of system reliability . Journal of Intelligent & Fuzzy Systems , 16 ( 3 ) : 213 – 220 .
   Web of Science ®Google Scholar
• Huang , H-Z. , Bo , R. and Chen , W. 2005b . An integrated computational intelligence approach to product concept generation and evaluation . Mechanism and Machine Theory , 41 ( 5 ) : 567 – 583 .
   Google Scholar
• Kim , H. M. , Michelena , N. F. , Papalambros , P. Y. and Jiang , T. 2003a . Target cascading in optimal system design . ASME Journal of Mechanical Design , 125 ( 3 ) : 474 – 480 .
   Web of Science ®Google Scholar
• Kim , H. M. , Rideout , D. G. , Papalambros , P. Y. and Stein , J. L. 2003b . Analytical target cascading in automotive vehicle design . ASME Journal of Mechanical Design , 125 ( 3 ) : 481 – 489 .
   Web of Science ®Google Scholar
• Klein , M. , Sayama , H. , Faratin , P. and Bar-Yam , Y. 2003 . The dynamics of collaborative design: insights from complex systems and negotiation research . Concurrent Engineering: Research and Applications , 11 ( 3 ) : 201 – 208 .
   Web of Science ®Google Scholar
• Komorowski , J. , Pawlak , Z. , Polkowski , L. and Skowron , A. 1998 . “ Rough sets: a tutorial ” . In Rough Fuzzy Hybridization. A New Trend in Decision Making , Edited by: Pal , S. K. and Skowron , A. 3 – 98 . Singapore : Springer .
   Google Scholar
• Lottaz , C. , Clément , D. E. , Faltings , B. V. and Smith , I. F.C. 1999 . Constraint-based support for collaboration in design and construction . Journal of Computing in Civil Engineering , 13 ( 1 ) : 23 – 35 .
   Web of Science ®Google Scholar
• Lottaz , C. , Smith , I. F.C. , Robert-Nicoud , Y. and Faltings , B. V. 2000 . Constraint-based support for negotiation in collaborative design . Artificial Intelligence in Engineering , 14 ( 2 ) : 261 – 280 .
   Google Scholar
• Messac , A. and Chen , W. 2000 . The engineering design discipline: is its confounding lexicon hindering its evolution? . Engineering Valuation & Cost Analysis , 3 ( 2–3 ) : 67 – 83 .
   Google Scholar
• Michelena , N. , Park , H. and Papalambros , P. 2003 . Convergence properties of analytical target cascading . AIAA Journal , 41 ( 5 ) : 897 – 905 .
   Web of Science ®Google Scholar
• Nguyen , H. S. Discretization problem for rough sets methods . Proceedings of the First International Conference on Rough Sets and Current Trends in Computing . Warsaw, Poland. pp. 545 – 553 .
   Google Scholar
• Nguyen , H. S. and Skowron , A. Quantization of real value attributes–rough set and boolean reasoning approach . Proceedings of the Second Joint Annual Conference on Information Sciences, Society of Information Processing . North Carolina. pp. 34 – 37 .
   Google Scholar
• Olewnik , A. , Brauen , T. , Ferguson , S. and Lewis , K. 2004 . A framework for flexible systems and its implementation in multiattribute decision making . ASME Journal of Mechanical Design , 126 ( 3 ) : 412 – 419 .
   Web of Science ®Google Scholar
• Pacheco , J. E. , Amon , C. H. and Finger , S. 2003 . Bayesian surrogates applied to conceptual stages of the engineering design process . ASME Journal of Mechanical Design , 125 ( 4 ) : 664 – 672 .
   Web of Science ®Google Scholar
• Pawlak , Z. 1982 . Rough sets . International Journal of Computer and Information Science , 11 : 341 – 356 .
   Web of Science ®Google Scholar
• Pawlak , Z. 1991 . Rough Sets. Theoretical Aspects of Reasoning about Data , Dordrecht : Kluwer Academic Publication .
   Google Scholar
• Shan , S. and Wang , G. G. 2004 . Space exploration and global optimization for computationally intensive design problems: a rough set based approach . Structural and Multidisciplinary Optimization , 28 : 427 – 441 .
   Web of Science ®Google Scholar
• Simpson , T. W. , Rosen , D. , Allen , J. K. and Mistree , F. 1998 . Metrics for assessing design freedom and information certainty in the early stages of design . ASME Journal of Mechanical Design , 120 : 628 – 635 .
   Web of Science ®Google Scholar
• Sobek Jr , D. K. and Ward , A. Principles from Toyota's set-based concurrent engineering . Proceedings of ASME Design Engineering Technical Conference and Computers in Engineering Conference . Irvine, California.
   Google Scholar
• Sobek Jr , D. K. and Ward , A. 1999 . Toyota's principles of set-based concurrent engineering . Sloan Management Review , 40 ( 2 ) : 67 – 83 .
   Google Scholar
• Wassenaar , H. J. and Chen , W. 2003 . An approach to decision based design with discrete choice analysis for demand modeling . ASME Journal of Mechanical Design , 125 ( 3 ) : 490 – 497 .
   Web of Science ®Google Scholar
• Wood , W. H. and Agogino , A. M. 2005 . Decision-based conceptual design: modeling and navigating heterogeneous design spaces . ASME Journal of Mechanical Design , 127 ( 1 ) : 2 – 11 .
   Google Scholar
• Yanagisawa , H. and Fukuda , S. 2003 . Interactive reduct evolutional computation for aesthetic design . ASME Journal of Computing and Information Science in Engineering , 5 ( 1 ) : 1 – 7 .
   Google Scholar
• Yannou , B. , Moreno , F. , Thevenot , H. and Simpson , T. W. Faster generation of feasible design points . ASME Design Engineering Technical Conferences—Design Automation Conference . Long Beach, CA. ASME Article No. DETC2005/DAC-85449
   Google Scholar
• Yannou , B. , Simpson , T. W. and Barton , R. R. Towards a conceptual design explorer using metamodeling approaches and constraint programming . ASME Design Engineering Conferences—Design Automation Conference . Chicago, IL. ASME Article No. DETC2003/DAC-48766
   Google Scholar