Improved fuzzy ranking procedure for decision making in product design

References

• Baas , SM and Kwakernaak , H . 1977 . Rating and ranking of multiple-aspect alternatives using fuzzy sets . Automatica , 13 : 47 – 58 .
   Web of Science ®Google Scholar
• Büyüközkan , G and Feyzioğlu , O . 2004 . A fuzzy-logic-based decision-making approach for new product development . International Journal of Production Economics , 90 ( 1 ) : 27 – 45 .
   Web of Science ®Google Scholar
• Büyüközkan , G and Feyzioğlu , O . 2005 . Group decision making to better respond customer needs in software development . Computers & Industrial Engineering , 48 ( 2 ) : 427 – 441 .
   Web of Science ®Google Scholar
• Chang, W., 1981. Ranking of fuzzy utilities with triangular membership functions. In: Proceedings of the international conference on policy analysis and information systems, 263–272
   Google Scholar
• Chen C.-B. and Klein C.M., 1994. Fuzzy ranking methods for multi-attribute decision making. In: Proceedings of the IEEE international conference on systems, man, and cybernetics, 1994. ‘Humans, information and technology’, 2–5 October San Antonio, Texas, 475–480
   Google Scholar
• Chen , S . 1985 . Ranking fuzzy numbers with maximizing set and minimizing set . Fuzzy Sets and Systems , 17 ( 2 ) : 113 – 129 .
   Web of Science ®Google Scholar
• Chen , S-J and Chen , S-M . 2007 . Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers . Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies , 26 ( 1 ) : 1 – 11 .
   Google Scholar
• Chen , SJ and Hwang , CL . 1992 . Fuzzy multiple attribute decision making methods and applications , Lecture Notes in Economics and Mathematical Systems. New York : Springer .
   Google Scholar
• Chen , S-M and Wang , C-H . 2009 . Fuzzy risk analysis based on ranking fuzzy numbers using α-cuts, belief features and signal/noise ratios . Expert Systems with Applications , 36 ( 3 ) : 5576 – 5581 .
   Web of Science ®Google Scholar
• Delgado , M , Verdegay , JL and Vila , MA . 1988 . A procedure for ranking fuzzy numbers using fuzzy relations . Fuzzy Sets and Systems , 26 ( 1 ) : 49 – 62 .
   Web of Science ®Google Scholar
• Dong , J , Xiao , T and Qiao , G . 2001 . Study on a configuration framework for product family . High Technology Letters (English language edition) , 7 ( 4 ) : 58 – 62 .
   Google Scholar
• Fan , Z-P , Ma , J and Zhang , Q . 2002 . An approach to multiple attribute decision making based on fuzzy preference information on alternatives . Fuzzy Sets and Systems , 131 ( 1 ) : 101 – 106 .
   Web of Science ®Google Scholar
• Gungor , Z and Arikan , F . 2000 . A fuzzy outranking method in energy policy planning . Fuzzy Sets and Systems , 114 ( 1 ) : 115 – 122 .
   Web of Science ®Google Scholar
• Ho, T.K., Ip, K.H., and Tsang, C.W., 2009. Service bid comparisons by fuzzy ranking in open railway market timetabling. Expert Systems with Applications, doi: 10.1016/j.eswa.2009.01.044. [In press]
   Google Scholar
• Işıklar , G and Büyüközkan , G . 2006 . Using a multi-criteria decision making approach to evaluate mobile phone alternatives . Computer Standards & Interfaces , 29 ( 2 ) : 265 – 274 .
   Web of Science ®Google Scholar
• Jiang, B.C. and Chi-Hsing H., (2001). Fuzzy decision modeling for manufacturability evaluation under the concurrent engineering environment. In: Proceedings of the joint 9th IFSA world congress and 20th NAFIPS international conference, vol. 3, 25–28 July Vancouver, BC, Canada, 1511–1516
   Google Scholar
• Jiao , J and Tseng , MM . 1998 . Fuzzy ranking for concept evaluation in configuration design for mass customization . Concurrent Engineering: Research and applications , 6 ( 3 ) : 189 – 206 .
   Web of Science ®Google Scholar
• Kuo , TC , Chang , S-H and Huang , SH . 2006 . Environmentally conscious design by using fuzzy multi-attribute decision-making . International Journal of Advanced Manufacturing Technology , 29 ( 3–4 ) : 209 – 215 .
   Web of Science ®Google Scholar
• Lee , HS . A new fuzzy ranking method based on fuzzy preference relation . Proceedings of the IEEE international conference on systems, man, and cybernetics . 2000 . Vol. 5 , 8–11 October . pp. 3416 – 3420 . Tennessee : Nashville .
   Google Scholar
• Lee , J-H and You , K-H . 2003 . A fuzzy ranking method for fuzzy numbers . IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science , E86-A ( 10 ) : 2650 – 2658 .
   Google Scholar
• Lee , L-W and Chen , S-M . 2008 . Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations . Expert Systems with Applications , 34 ( 4 ) : 2763 – 2771 .
   Web of Science ®Google Scholar
• Liqing , G . 2008 . Fuzzy ranking approach for conceptual design evaluation . Proceecings of the 27th Chinese control conference (CCC) . 16–18 July 2008 , Kunming . China, 379–383
   Google Scholar
• Ma , L-Ch and Li , H-L . 2008 . A fuzzy ranking method with range reduction techniques . European Journal of Operational Research , 184 ( 3 ) : 1032 – 1043 .
   Web of Science ®Google Scholar
• Modarres , M and Sadi-Nezhad , S . 2001 . Ranking fuzzy numbers by preference ratio . Fuzzy Sets and Systems , 118 ( 3 ) : 429 – 436 .
   Web of Science ®Google Scholar
• Roy , B and Vincke , P . 1984 . Relational systems of preferences with one or more pseudo-criteria: some new concepts and results . Management Science , 30 ( 11 ) : 1323 – 1335 .
   Web of Science ®Google Scholar
• Smith , C and Verma , D . 2004 . Conceptual system design evaluation: rating and ranking versus compliance analysis . Systems Engineering , 7 ( 4 ) : 338 – 351 .
   Google Scholar
• Sun , H and Wu , J . 2006 . A new approach for ranking fuzzy numbers based on fuzzy simulation analysis method . Applied Mathematics and Computation , 174 ( 1 ) : 755 – 767 .
   Web of Science ®Google Scholar
• Tseng , TY and Klein , CM . 1988 . A survey and comparative study of ranking procedures in fuzzy decision making . Working paper 881210. Department of Industrial Engineering . 1988 . Columbia : University of Missouri .
   Google Scholar
• Tseng , TY and Klein , CM . 1989 . New algorithm for the ranking procedure in fuzzy decision making . IEEE Transaction Systems, Man and Cybernetics , 19 ( 5 ) : 1289 – 1296 .
   Web of Science ®Google Scholar
• Wang , J . 1997 . A fuzzy outranking method for conceptual design evaluation . International Journal of Production Research , 35 ( 4 ) : 995 – 1010 .
   Web of Science ®Google Scholar
• Wang , Y-M and Parkan , D . 2005 . Multiple attribute decision making based on fuzzy preference information on alternatives: ranking and weighting . Fuzzy Sets and Systems , 153 ( 3 ) : 331 – 346 .
   Web of Science ®Google Scholar
• Wu , D and Mendel , J . 2009 . A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets . Information Sciences , 179 ( 8 ) : 1169 – 1192 .
   Web of Science ®Google Scholar
• Yuan , Y . 1991 . Criteria for evaluating fuzzy ranking methods . Fuzzy Sets and Systems , 43 ( 22 ) : 139 – 157 .
   Web of Science ®Google Scholar
• Zhang, Q., Wang, Y., and Yang, Y., 2007. Fuzzy multiple attribute decision making with eight types of preference information on alternatives. In: Proceedings of IEEE symposium on computational intelligence in multicriteria decision making, MCDM 2007, 1–5 April, Honolulu, Hawaii, USA, 288–293
   Google Scholar