Henry Nuttle

Dai, Y., Fang, S.-C., Ling, X. L., & Nuttle, H. L. W. (2008). Risk pooling strategy in a multi-echelon supply chain with price-sensitive demand. Mathematical Methods of Operations Research, 67(3), 391–421. https://doi.org/10.1007/s00186-007-0203-8

Wang, S., Fang, S. C., & Nuttle, H. L. W. (2007). Fuzzy optimization and decision making (vol 2, pg 41, 2003). Fuzzy Optimization and Decision Making, Vol. 6, pp. 297–297.

Wang, S., Fang, S. C., & Nuttle, H. L. W. (2007). Fuzzy optimization and decision making (vol 4, pg 331, 2005). Fuzzy Optimization and Decision Making, Vol. 6, pp. 297–297.

Dai, Y., Chao, X. L., Fang, S.-C., & Nuttle, H. L. W. (2006). Capacity allocation with traditional and Internet channels. Naval Research Logistics, 53(8), 772–787. https://doi.org/10.1002/nav.20168

Dai, Y., Chao, X. L., Fang, S.-C., & Nuttle, H. L. W. (2005). Game theoretic analysis of a distribution system with customer market search. Annals of Operations Research, 135(1), 223–238. https://doi.org/10.1007/s10479-005-6243-7

Dai, Y., Chao, X. L., Fang, S. C., & Nuttle, H. L. W. (2005). Pricing in revenue management for multiple firms competing for customers. International Journal of Production Economics, 98(1), 16-.

Liao, Y., Fang, S.-C., & L.W. Nuttle, H. (2004). A neural network model with bounded-weights for pattern classification. Computers & Operations Research, 31(9), 1411–1426. https://doi.org/10.1016/S0305-0548(03)00097-2

Fang, S.-C., Nuttle, H. W. L., & Wang, D. W. (2004). Fuzzy formulation of auctions and optimal sequencing for multiple auctions. Fuzzy Sets and Systems, 142(3), 421–441. https://doi.org/10.1016/S0165-0114(03)00127-1

Wu, P., Fang, S. C., & Nuttle, H. L. W. (2003). An  enhanced neural network learning using a self-tuning fuzzy neuron controller. Journal of Intelligent & Fuzzy Systems, 14(2), 109–118.

Lertworasirikul, S., Fang, S.-C., Joines, J. A., & Nuttle, H. L. (2003). Fuzzy BCC model for data envelopment analysis. Fuzzy Optimization and Decision Making, 2(4), 337–358. https://doi.org/10.1023/b:fodm.0000003953.39947.b4

Lertworasirikul, S., Fang, S. C., Joines, J. A., & Nuttle, H. L. W. (2003). Fuzzy data envelopment analysis (DEA): a possibility approach. Fuzzy Sets and Systems, 139(2), 379–394. https://doi.org/10.1016/S0165-0114(02)00484-0

Liao, Y., Fang, S.-C., & Nuttle, H. L. W. (2003). Relaxed conditions for radial-basis function networks to be universal approximators. Neural Networks, 16(7), 1019–1028. https://doi.org/10.1016/S0893-6080(02)00227-7

Medaglia, A. L., Fang, S.-C., Nuttle, H. L. W., & Wilson, J. R. (2002). An efficient and flexible mechanism for constructing membership functions. European Journal of Operational Research, 139(1), 84–95. https://doi.org/10.1016/S0377-2217(01)00157-6

King, R. E., Moon, W. K., Nuttle, H. L. W., & Thoney, K. A. (2002). Case Study Analysis of Inventory Stocking Policies to Support Replenishment: A Supply-chain Perspective. Journal of the Textile Institute, 93(3), 25–35. https://doi.org/10.1080/00405000208658356

Wu, P. S., Fang, S.-C., & Nuttle, H. L. W. (2002). Efficient neural network learning using second order information with fuzzy control. Neurocomputing, 43(2002 Mar), 197–217. https://doi.org/10.1016/S0925-2312(01)00336-8

Medaglia, A. L., Fang, S.-C., & Nuttle, H. L. W. (2002). Fuzzy controlled simulation optimization. Fuzzy Sets and Systems, 127(1), 65–84. https://doi.org/10.1016/S0165-0114(01)00153-1

Nuttle, H. L. W., King, R., Hunter, N. A., Wilson, J. R., & Fang, S.-C. (2000). Simulation Modeling of the textile supply chain - Part 1: The textile-plant models. Journal of the Textile Institute, 91(1), 35–50. https://doi.org/10.1080/00405000008659526

Nuttle, H. L. W., King, R., Fang, S.-C., Wilson, J. R., & Hunter, N. A. (2000). Simulation Modeling of the textile supply chain - Part II: Results and research directions. Journal of the Textile Institute, 91(1), 51–64. https://doi.org/10.1080/00405000008659527

Fang, S.-C., Hung, T.-W., & Nuttle, H. (1999). A clustering-based approach to fuzzy systems identification. Proceedings of the 8th International Fuzzy Systems Association World Congress, August 1999, (1999 Aug.). Piscataway, N.J.: IEEE.

Fang, S.-C., Chen, S.-H., Wu, P.-T., Huang, M., & Nuttle, H. (1999). A fuzzy expert system for a wave soldering process. Proceedings of the 8th International Fuzzy Systems Association World Congress. August 1999, (1999 Aug.). Piscataway, N.J.: IEEE.

Fang, S.-C., Wang, D.-W., Chen, S.-H., & Nuttle, H. (1999). A new fuzzy due-date bargainer with soft computing. Proceedings of the 8th International Fuzzy Systems Association World Congress. August 1999, (1999 Aug.). Piscataway, N.J.: IEEE.

Fang, S.-C., Hung, T.-W., & Nuttle, H. (1999). An easily implemented approach to fuzzy systems identification. In T. S. R. N. Dave (Ed.), 18th International Conference of the North American Fuzzy Information Processing Society--NAFIPS: June 10-12, 1999, New York, N.Y., U.S.A. New York, N.Y.; Piscataway, N.J.: IEEE.

Fang, S.-C., Wu, P.-T., & Nuttle, H. (1999). Curved search based neural network learning using fuzzy control. Proceedings of the 8th International Fuzzy Systems Association World Congress. August 1999, (1999 Aug.). Piscataway, N.J.: IEEE.

Fang, S.-C., Wang, D.-W., & Nuttle, H. (1999). Fuzzy rule quantification and its application in fuzzy due-date bargaining. Proceedings of the 8th International Fuzzy Systems Association World Congress. August 1999, (1999 Aug.). Piscataway, N.J.: IEEE.

Wang, D. W., Fang, S.-C., & Nuttle, H. L. W. (1999). Soft computing for multicustomer due-date bargaining. IEEE Transactions on Systems, Man, and Cybernetics. Part C, Applications and Reviews, 29(4), 566–575. https://doi.org/10.1109/5326.798770

Fang, S.-C., Donovan, M., Nuttle, H., & Wilson, J. (1998). Multi-customer due-date bargaining with soft computing. Proceedings of the Fourth Joint Conference of Information Sciences. 1998, 2(1998), 84–87.

Fang, S.-C., Chen, T.-W., Nuttle, H. L. W., & King, R. E. (1997). A fuzzy-control-based quick response reorder scheme for retailing of seasonal apparel. Joint Conference of Information Sciences: Semiotics, fuzzy logic, soft computing, computer vision, neural computing, genetic algorithm, pattern recognition, evolutionary computing, 2, 300–303. Durham, NC: Duke University Machine Intelligence & Fuzzy Logic Laboratory.