Henry Lee Nuttle

Risk pooling strategy in a multi-echelon supply chain with price-sensitive demand

Dai, Y., Fang, S.-C., Ling, X., & Nuttle, H. L. W. (2008, June). MATHEMATICAL METHODS OF OPERATIONS RESEARCH, Vol. 67, pp. 391–421.

Fuzzy optimization and decision making (vol 2, pg 41, 2003)

Fuzzy Optimization and Decision Making, Vol. 6, pp. 297–297.

Fuzzy optimization and decision making (vol 4, pg 331, 2005)

Fuzzy Optimization and Decision Making, Vol. 6, pp. 297–297.

Capacity allocation with traditional and Internet channels

NAVAL RESEARCH LOGISTICS, 53(8), 772–787.

Game theoretic analysis of a distribution system with customer market search

Annals of Operations Research, 135(1), 223–238.

Pricing in revenue management for multiple firms competing for customers

International Journal of Production Economics, 98(1), 16-.

A neural network model with bounded-weights for pattern classification

Computers & Operations Research, 31(9), 1411–1426.

Fuzzy formulation of auctions and optimal sequencing for multiple auctions

FUZZY SETS AND SYSTEMS, 142(3), 421–441.

An enhanced neural network learning using a self-tuning fuzzy neuron controller

Journal of Intelligent & Fuzzy Systems, 14(2), 109–118.

Fuzzy BCC model for data envelopment analysis

Fuzzy Optimization and Decision Making, 2(4), 337–358.

Fuzzy data envelopment analysis (DEA): a possibility approach

Fuzzy Sets and Systems, 139(2), 379–394.

Relaxed conditions for radial-basis function networks to be universal approximators

NEURAL NETWORKS, 16(7), 1019–1028.

An efficient and flexible mechanism for constructing membership functions

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 139(1), 84–95.

Case Study Analysis of Inventory Stocking Policies to Support Replenishment: A Supply-chain Perspective

Journal of the Textile Institute, 93(3), 25–35.

Efficient neural network learning using second order information with fuzzy control

NEUROCOMPUTING, 43(2002 Mar), 197–217.

Fuzzy controlled simulation optimization

Medaglia, A. L., Fang, S. C., & Nuttle, H. L. W. (2002, April 1). FUZZY SETS AND SYSTEMS, Vol. 127, pp. 65–84.

Simulation Modeling of the textile supply chain - Part 1: The textile-plant models

JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 35–50.

Simulation Modeling of the textile supply chain - Part II: Results and research directions

JOURNAL OF THE TEXTILE INSTITUTE, 91(1), 51–64.

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.

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.

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.

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.

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.

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.

Soft computing for multicustomer due-date bargaining

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 29(4), 566–575.

Multi-customer due-date bargaining with soft computing

Proceedings of the Fourth Joint Conference of Information Sciences. 1998, 2(1998), 84–87.

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.