Fuzzy multiple objective decision making approach to prioritize design requirements in quality function deployment

References

• Akao Y 1997 QFD: Past, present, and future In: Proceedings of the Int. Symposium on QFD’97 Linköping
   Google Scholar
• Armacost , RL , Componation , PJ , Mullens , MA and Swart , WW . 1994 . An AHP framework for prioritizing customer requirements in QFD: An industrialized housing application . IIE Transactions , 26 ( 4 ) : 72 – 79 .
   Web of Science ®Google Scholar
• Bode , J and Fung , RYK . 1998 . Cost engineering with quality function deployment . Computers & Industrial Engineering , 35 ( 3–4 ) : 587 – 590 .
   Web of Science ®Google Scholar
• Bojadziev G Bojadziev M 1995 Fuzzy Sets, Fuzzy Logic, Applications Advances in Fuzzy Systems – Applications and Theory Vol. 5 Singapore World Scientific
   Google Scholar
• Chan , LK , Kao , HP , Ng , A and Wu , ML . 1999 . Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods . International Journal of Production Research , 37 ( 11 ) : 2499 – 2518 .
   Web of Science ®Google Scholar
• Chan , LK and Wu , ML . 2002 . Quality function deployment: A literature review . European Journal of Operational Research , 143 : 463 – 497 .
   Web of Science ®Google Scholar
• Cheng , CH and Lin , Y . 2002 . Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation . European Journal of Operational Research , 142 : 174 – 186 .
   Web of Science ®Google Scholar
• Hauser , JR and Clausing , D . 1988 . The house of quality . Harvard Business Review , 66 : 63 – 73 .
   Web of Science ®Google Scholar
• Karsak , EE and Tolga , E . 2001 . Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments . International Journal of Production Economics , 69 : 49 – 64 .
   Web of Science ®Google Scholar
• Karsak , EE , Sozer , S and Alptekin , SE . 2002 . Product planning in quality function deployment using a combined analytic network process and goal programming approach . Computers & Industrial Engineering , 44 : 171 – 190 .
   Web of Science ®Google Scholar
• Karwowski , W and Mital , A . 1986 . Potential applications of fuzzy sets in industrial safety engineering . Fuzzy Sets and Systems , 19 ( 2 ) : 105 – 120 .
   Web of Science ®Google Scholar
• Kaufmann A Gupta MM 1988 Fuzzy Mathematical Models in Engineering and Management Science Amsterdam North-Holland
   Google Scholar
• Khoo , LP and Ho , NC . 1996 . Framework of a fuzzy quality function deployment system . International Journal of Production Research , 34 ( 2 ) : 299 – 311 .
   Web of Science ®Google Scholar
• Lee , ES and Li , RJ . 1993 . Fuzzy multiple objective programming and compromise programming with Pareto optimum . Fuzzy Sets and Systems , 53 : 275 – 288 .
   Web of Science ®Google Scholar
• Linstone HA Turoff M 1975 The Delphi Method: Techniques and Applications Reading Addison-Wesley Publishing Company
   Google Scholar
• Lu , M , Madu , CN , Kuei , C and Winokur , D . 1994 . Integrating QFD, AHP, and benchmarking in strategic marketing . J. Business Ind. Marketing , 9 ( 1 ) : 41 – 50 .
   Google Scholar
• Narasimhan , R . 1981 . On fuzzy goal programming — some comments . Decision Sciences , 12 : 532 – 537 .
   Google Scholar
• Park , T and Kim , K . 1998 . Determination of an optimal set of design requirements using house of quality . Journal of Operations Management , 16 : 569 – 581 .
   Google Scholar
• Perego , A and Rangone , A . 1998 . A reference framework for the application of MADM fuzzy techniques to selecting AMTS . International Journal of Production Research , 36 ( 2 ) : 437 – 458 .
   Web of Science ®Google Scholar
• Prasad , B . 1998 . Review of QFD and related deployment techniques . Journal of Manufacturing Systems , 17 ( 3 ) : 221 – 234 .
   Web of Science ®Google Scholar
• Revelle JB Moran JW Cox CA 1998 The QFD Handbook New York John Wiley & Sons
   Google Scholar
• Ross TJ 1995 Fuzzy Logic with Engineering Applications New York McGraw-Hill
   Google Scholar
• Saaty TL 1980 The Analytic Hierarchy Process New York McGraw-Hill
   Google Scholar
• Shillito ML 1994 Advanced QFD – Linking Technology to Market and Company Needs New York Wiley
   Google Scholar
• Tong , S . 1994 . Interval number and fuzzy number linear programmings . Fuzzy Sets and Systems , 66 : 301 – 306 .
   Web of Science ®Google Scholar
• Wang , H , Xie , M and Goh , TN . 1998 . A comparative study of the prioritization matrix method and the analytic hierarchy process technique in quality function deployment . Total Quality Management , 9 ( 6 ) : 421 – 430 .
   Web of Science ®Google Scholar
• Wang , J . 1999 . Fuzzy outranking approach to prioritize design requirements in quality function deployment . International Journal of Production Research , 37 ( 4 ) : 899 – 916 .
   Web of Science ®Google Scholar
• Wasserman , GS . 1993 . On how to prioritize design requirements during the QFD planning process . IIE Transactions , 25 ( 3 ) : 59 – 65 .
   Web of Science ®Google Scholar
• Zadeh , LA . 1975 . The concept of a linguistic variable and its application to approximate reasoning-I . Information Sciences , 8 : 199 – 249 .
   Web of Science ®Google Scholar