How to cite this paper
Pandey, R., Pattanaik, L & Kumar, S. (2014). Fuzzy linguistic hedges for the selection of manufacturing process for prosthetic sockets.Decision Science Letters , 3(4), 503-510.
Refrences
Aktepe, A., & ERSOZ, S. (2011). A fuzzy analytic hierarchy process model for supplier selection and a case study. International Journal of Research and Development, 3(1), 33-37.
Daim, T., Udbye, A., & Balasubramanian, A. (2012). Use of analytic hierarchy process (AHP) for selection of 3PL providers. Journal of Manufacturing Technology Management, 24(1), 3-3.
Dangayach, G. S., & Deshmukh, S. G. (2005). Advanced manufacturing technology implementation: evidence from Indian small and medium enterprises (SMEs). Journal of Manufacturing Technology Management, 16(5), 483-496.
Foort, J., Spiers, R., & Bannon, M. (1985). Experimental fittings of sockets for below-knee amputees using computer aided design and manufacturing techniques. Prosthetics and Orthotics International, 9(1), 46-47.
Holden, J. M., & Fernie, G. R. (1986). Results of the pilot phase of a clinical evaluation of computer aided design of trans-tibial prosthesis sockets. Prosthetics and Orthotics International, 10(3), 142-148.
Klasson, B. (1985). Computer aided design, computer aided manufacture and other computer aids in prosthetics and orthotics. Prosthetics and Orthotics International, 9(1), 3-11.
Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of intelligent manufacturing, 13(5), 367-377.
Lascio, L. D., Gisolfi, A., & Loia, V. (1996). A new model for linguistic modifiers. International Journal of Approximate Reasoning, 15(1), 25-47.
Le, T. P. N., Genovese, A., & Koh, L. S. (2011). Using FAHP to determine the criteria for partner & apos; s selection within a green supply chain: the case of hand tool industry in Taiwan. Journal of Manufacturing Technology Management, 23(1), 25-55.
Nepal, B., Natarajarathinam, M., & Balla, K. (2011). Improving manufacturing process for biomedical products: a case study. Journal of Manufacturing Technology Management, 22(4), 527-540.
Ho, N. C., & Nam, H. V. (2002). An algebraic approach to linguistic hedges in Zadeh & apos; s fuzzy logic. Fuzzy Sets and Systems, 129(2), 229-254.
Ho, N. C., & Wechler, W. (1992). Extended hedge algebras and their application to fuzzy logic. Fuzzy sets and systems, 52(3), 259-281.
Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-819.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1972). A fuzzy-set-theoretic interpretation of linguistic hedges.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.
Daim, T., Udbye, A., & Balasubramanian, A. (2012). Use of analytic hierarchy process (AHP) for selection of 3PL providers. Journal of Manufacturing Technology Management, 24(1), 3-3.
Dangayach, G. S., & Deshmukh, S. G. (2005). Advanced manufacturing technology implementation: evidence from Indian small and medium enterprises (SMEs). Journal of Manufacturing Technology Management, 16(5), 483-496.
Foort, J., Spiers, R., & Bannon, M. (1985). Experimental fittings of sockets for below-knee amputees using computer aided design and manufacturing techniques. Prosthetics and Orthotics International, 9(1), 46-47.
Holden, J. M., & Fernie, G. R. (1986). Results of the pilot phase of a clinical evaluation of computer aided design of trans-tibial prosthesis sockets. Prosthetics and Orthotics International, 10(3), 142-148.
Klasson, B. (1985). Computer aided design, computer aided manufacture and other computer aids in prosthetics and orthotics. Prosthetics and Orthotics International, 9(1), 3-11.
Kwong, C. K., & Bai, H. (2002). A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of intelligent manufacturing, 13(5), 367-377.
Lascio, L. D., Gisolfi, A., & Loia, V. (1996). A new model for linguistic modifiers. International Journal of Approximate Reasoning, 15(1), 25-47.
Le, T. P. N., Genovese, A., & Koh, L. S. (2011). Using FAHP to determine the criteria for partner & apos; s selection within a green supply chain: the case of hand tool industry in Taiwan. Journal of Manufacturing Technology Management, 23(1), 25-55.
Nepal, B., Natarajarathinam, M., & Balla, K. (2011). Improving manufacturing process for biomedical products: a case study. Journal of Manufacturing Technology Management, 22(4), 527-540.
Ho, N. C., & Nam, H. V. (2002). An algebraic approach to linguistic hedges in Zadeh & apos; s fuzzy logic. Fuzzy Sets and Systems, 129(2), 229-254.
Ho, N. C., & Wechler, W. (1992). Extended hedge algebras and their application to fuzzy logic. Fuzzy sets and systems, 52(3), 259-281.
Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808-819.
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Zadeh, L. A. (1972). A fuzzy-set-theoretic interpretation of linguistic hedges.
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information sciences, 8(3), 199-249.