Shu-Cherng Fang

University Alumni Distinguished Graduate Professor

Walter Clark Chair

919-515-2192
fang@ncsu.edu
450 Daniels Hall
Visit My Website

Shu-Cherng Fang has been appointed as the University Chair Professor of Tsinghua University (Beijing), Honorary University Professor of Northeast University (Shenyang), Honorary University Professor of Shanghai University (Shanghai), Honorary University Professor of Fudan University (Shanghai), Graduate University Advisory Professor of the Chinese Academy of Sciences (Beijing), Honorary University Chair Professor of the National Chiao Tung University (Taiwan) and Honorary IEEM Chair Professor of the National Tsinghua University (Taiwan). Before joining NC State, Professor Fang was Senior Member of Research Staff at Western Electric Engineering Research Center, Supervisor at AT&T Bell Labs, and Department Manager at the Corporate Headquarters of AT&T Technologies.

Professor Fang has published over two hundred refereed journal articles. He authored the books of Linear Optimization and Extensions: Theory and Algorithms (Prentice Hall 1993, with S. C. Puthenpura), Entropy Optimization and Mathematical Programming (Kluwer Academic 1997, with J.R. Rajasekera and H.-S. Tsao) and Linear Conic Optimization (Science Press 2013, with Wenxun Xing). He currently serves on the editorial boards of several scientific journals, including Optimization, Journal of Global Optimization, Optimization Letters, Pacific Journal of Optimization, Journal of Management and Industrial Optimization, Annals of Data Science, Systems Engineering – Theory and Practice, Journal of Systems Science and Information, Journal of Operations and Logistics, International Journal of Decision Support Systems, Chinese Journal of Management Science, Journal of Uncertainties, International Journal of Fuzzy Systems, Iranian Journal of Fuzzy Systems, Fuzzy Information and Engineering, OR Transactions and Journal of the Operations Research Society of China. He is also the Editor-in-Chief of Fuzzy Optimization and Decision Making.

Discover more about Dr. Fang, see Faculty Profile: Shu-Cherng Fang.

Education

Ph.D. 1979

Doctor of Philosophy in Industrial Engineering

Northwestern University

MS 1977

Master of Science

Johns Hopkins University

BS 1974

Bachelor of Science

National Tsing Hua University Taiwan

Research Description

Linear and nonlinear programming, fuzzy optimization and decision making, soft computing and heuristic methods, logistics and supply chain management, telecommunication networks and L1 splines.

Honors and Awards

Fellow, Chinese Institute of Industrial Engineers, 2015
Outstanding Alumnus Award - College of Science, National Tsing Hua University, Taiwan, ROC, 2007
University Distinguished Graduate Professorship Award, NC State University, 2005
Fellow, Institute of Industrial Engineers, 2002
R. J. Reynolds Award for Excellency in Teaching, Research, and Extension - NC State University, 2001
Jackson Rigney International Service Award - N C State University, 2001
University Outstanding Research Award - NC State University, 1988
Corporate Special Merit Award - AT&T Corporate Headquarters, 1987
Exceptional Contribution Award - AT&T Bell Laboratories, 1986
Corporate Technical Achievement Award - AT&T Technologies, 1984

Publications

A proximal quadratic surface support vector machine for semi-supervised binary classification: Yan, X., Bai, Y., Fang, S.-C., & Luo, J. (2018), SOFT COMPUTING, 22(20), 6905–6919. https://doi.org/10.1007/s00500-017-2751-z
Argument division based branch-and-bound algorithm for unit-modulus constrained complex quadratic programming: Lu, C., Deng, Z. B., Zhang, W. Q., & Fang, S. C. (2018), Journal of Global Optimization, 70(1), 171–187.
Core of the reinsurance market with dependent risks: Zhang, J. H., Fang, S. C., & Xu, Y. F. (2018), Journal of the Operations Research Society of China, 6(1), 49–57.
Enhanced linear reformulation for engineering optimization models with discrete and bounded continuous variables: An, Q., Fang, S. C., Li, H. L., & Nie, T. T. (2018), Applied Mathematical Modelling, 58, 140–157.
Geometric programming with discrete variables subject to max-product fuzzy relation constraints: Qin, Z. J., Cao, B. Y., Fang, S. C., & Yang, X. P. (2018), Discrete Dynamics in Nature and Society.
Inventory centralization with risk-averse newsvendors: Zhang, J., Fang, S.-C., & Xu, Y. (2018), ANNALS OF OPERATIONS RESEARCH, 268(1-2), 215–237. https://doi.org/10.1007/s10479-017-2578-0
Reverse auctions with regret-anticipated bidders: Qian, X., Fang, S.-C., Huang, M., An, Q., & Wang, X. (2018), ANNALS OF OPERATIONS RESEARCH, 268(1-2), 293–313. https://doi.org/10.1007/s10479-017-2475-6
A branch-and-cut algorithm using polar cuts for solving nonconvex quadratic programming problems: Deng, Z. B., Fang, S. C., Lu, C., & Guo, X. L. (2018), Optimization, 67(2), 359–375.
Best L-1 approximation of Heaviside-type functions from Chebyshev and weak-Chebyshev spaces: Gajny, L., Gibaru, O., Nyiri, E., & Fang, S. C. (2017), Numerical Algorithms, 75(3), 827–843.
Conic approximation to quadratic optimization with linear complementarity constraints: Zhou, J., Fang, S. C., & Xing, W. X. (2017), Computational Optimization and Applications, 66(1), 97–122.
Double well potential function and its optimization in the N-dimensional real space - Part I: Fang, S. C., Gao, D. Y., Lin, G. X., Sheu, R. L., & Xing, W. X. (2017), Journal of Industrial and Management Optimization, 13(3), 1291–1305.
Double well potential function and its optimization in the N-dimensional real space - Part II: Xia, Y., Sheu, R. L., Fang, S. C., & Xing, W. X. (2017), Journal of Industrial and Management Optimization, 13(3), 1307–1328.
Linear reformulation of polynomial discrete programming for fast computation: Li, H. L., Huang, Y. H., & Fang, S. C. (2017), INFORMS Journal on Computing, 29(1), 108–122.
Mixed-integer linear programming approach for scheduling repetitive projects with time-cost trade-off consideration: Zou, X., Fang, S. C., Huang, Y. S., & Zhang, L. H. (2017), Journal of Computing in Civil Engineering, 31(3).
Solving routing and wavelength assignment problem with maximum edge-disjoint paths: Hsu, C. C., Cho, H. J., & Fang, S. C. (2017), Journal of Industrial and Management Optimization, 13(2), 1065–1084.
A cooperative game with envy: Zhang, J. H., Fang, S. C., Xu, Y. F., & Wang, Z. T. (2017), Journal of Industrial and Management Optimization, 13(4), 2049–2066.
Cardinality constrained portfolio selection problem: A completely positive programming approach: Tian, Y., Fang, S., Deng, Z. B., & Jin, Q. W. (2016), Journal of Industrial and Management Optimization, 12(3), 1041–1056.
Fuzzy quadratic surface support vector machine based on fisher discriminant analysis: Luo, J., Fang, S. C., Bai, Y. Q., & Deng, Z. B. (2016), Journal of Industrial and Management Optimization, 12(1), 357–373.
On linear conic relaxation of discrete quadratic programs: Nie, T. T., Fang, S. C., Deng, Z. B., & Lavery, J. E. (2016), Optimization Methods & Software, 31(4), 737–754.
Reformulations for project portfolio selection problem considering interdependence and cardinality: Li, X. M., Huang, Y. H., Fang, S. C., & Deng, Z. B. (2016), Pacific Journal of Optimization, 12(2), 355–366.
Soft quadratic surface support vector machine for binary classification: Luo, J., Fang, S. C., Deng, Z. B., & Guo, X. L. (2016), Asia-Pacific Journal of Operational Research, 33(6).
Winner determination for risk aversion buyers in multi-attribute reverse auction: Huang, M., Qian, X. H., Fang, S. C., & Wang, X. W. (2016), Omega, 59, 184–200.
A kernel-free quadratic surface support vector machine for semi-supervised learning: Yan, X., Bai, Y. Q., Fang, S. C., & Luo, J. (2016), Journal of the Operational Research Society, 67(7), 1001–1011.
An enhanced logarithmic method for signomial programming with discrete variables: Li, H. L., Fang, S. C., Huang, Y. H., & Nie, T. T. (2016), European Journal of Operational Research, 255(3), 922–934.
An extended model for project portfolio selection with project divisibility and interdependency: Li, X. M., Fang, S. C., Guo, X. L., Deng, Z. B., & Qi, J. X. (2016), Journal of Systems Science and Systems Engineering, 25(1), 119–138.
Canonical dual solutions to quadratic optimization over one quadratic constraint: Xing, W. X., Fang, S. C., Sheu, R. L., & Zhang, L. P. (2015), Asia-Pacific Journal of Operational Research, 32(1).
Conic approximation to nonconvex quadratic programming with convex quadratic constraints: Deng, Z. B., Fang, S. C., Jin, Q. W., & Lu, C. (2015), Journal of Global Optimization, 61(3), 459–478.
Expanded model of the project portfolio selection problem with divisibility, time profile factors and cardinality constraints: Li, X. M., Fang, S. C., Tian, Y., & Guo, X. L. (2015), Journal of the Operational Research Society, 66(7), 1132–1139.
On shape-preserving capability of cubic L-1 spline fits: Wang, Z. T., Fang, S. C., & Lavery, J. E. (2015), Computer Aided Geometric Design, 40, 59–75.
Set covering-based topsis method for sloving sup-T equation constrained multi-objective optimization problems: Hu, C. F., & Fang, S. C. (2015), Journal of Systems Science and Systems Engineering, 24(3), 258–275.
Adaptive computable approximation to cones of nonnegative quadratic functions: Lu, C., Jin, Q. W., Fang, S. C., Wang, Z. B., & Xing, W. X. (2014), Optimization, 63(6), 955–980.
Detection of a copositive matrix over a p-th order cone: Zhou, J., Deng, Z. B., Fang, S. C., & Xing, W. X. (2014), Pacific Journal of Optimization, 10(3), 593–611.
In celebration of Professor Min-yi Yue's 95th birthday: Bai, Y. Q., Fang, S. C., Han, J. Y., & Xiu, N. H. (2014). In celebration of Professor Min-yi Yue’s 95th birthday. Optimization, 63(6), 827–828,
Non-L-R type fuzzy parameters in mathematical programming problems: Hu, C. F., Adivar, M., & Fang, S. C. (2014), IEEE Transactions on Fuzzy Systems, 22(5), 1062–1073.
Quadratic optimization over one first-order cone: Guo, X. L., Deng, Z. B., Fang, S. C., & Xing, W. X. (2014), Journal of Industrial and Management Optimization, 10(3), 945–963.
Solving conic quadratically constrained quadratic programming problems: Jin, Q. W., Fang, S. C., Lu, C., & Xing, W. X. (2014), Pacific Journal of Optimization, 10(3), 503–516.
Comparison of an l(1)-regression-based and a RANSAC-based planar segmentation procedure for urban terrain data with many outliers: Luo, J., Deng, Z. B., Bulatov, D., Lavery, J. E., & Fang, S. C. (2013), In Image and signal processing for remote sensing xix (Vol. 8892).
Computable representation of the cone of nonnegative quadratic forms over a general second-order cone and its application to completely positive programming: Tian, Y., Fang, S. C., Deng, Z. B., & Xing, W. X. (2013), Journal of Industrial and Management Optimization, 9(3), 703–721.
Detecting copositivity of a symmetric matrix by an adaptive ellipsoid-based approximation scheme: Deng, Z. B., Fang, S. C., Jin, Q. W., & Xing, W. X. (2013), European Journal of Operational Research, 229(1), 21–28.
On constraint qualifications: motivation, design and inter-relations: Wang, Z. T., Fang, S. C., & Xing, W. X. (2013), Journal of Industrial and Management Optimization, 9(4), 983–1001.
Optimization: Special issue on the Eighth Chinese Symposium on Mathematical Programming (CSMP 2010) PREFACE: Bai, Y. Q., Fang, S. C., Fang, W. W., Han, J. Y., & Xiu, N. H. (2013), Optimization, 62(4), 429–430.
Selecting optimal selling format of a product in B2C online auctions with boundedly rational customers: Jiang, Z. Z., Fang, S. C., Fan, Z. P., & Wang, D. W. (2013), European Journal of Operational Research, 226(1), 139–153.
Transport costs and China's exports: Some empirical evidences: Xu, L. Z., Fang, S. C., & Zhang, X. (2013). Transport costs and China’s exports: Some empirical evidences. Journal of Systems Science & Complexity, 26(3), 365–382,
A branch-and-cut approach to portfolio selection with marginal risk control in a linear conic programming framework: Deng, Z. B., Bai, Y. Q., Fang, S. C., Tian, Y., & Xing, W. X. (2013), Journal of Systems Science and Systems Engineering, 22(4), 385–400.
A logarithmic method for reducing binary variables and inequality constraints in solving task assignment problems: Li, H. L., Huang, Y. H., & Fang, S. C. (2013), INFORMS Journal on Computing, 25(4), 643–653.
An entropy based central cutting plane algorithm for convex min-max semi-infinite programming problems: Zhang, L. P., Fang, S. C., & Wu, S. Y. (2013), Science China-Mathematics, 56(1), 201–211.
Canonical dual approach to solving the maximum cut problem: Wang, Z. B., Fang, S. C., Gao, D. Y., & Xing, W. X. (2012), Journal of Global Optimization, 54(2), 341–351.
Convex optimization on mixed domains: Adivar, M., & Fang, S. C. (2012), Journal of Industrial and Management Optimization, 8(1), 189–227.
Global optimal solutions to a class of quadrinomial minimization problems with one quadratic constraint: Yuan, Y. B., Fang, S. C., & Gao, D. Y. (2012), Journal of Global Optimization, 52(2), 195–209.
Introduction to the special issue on optimizing risk management in services: Wu, D. D., Fang, S. C., Olson, D. L., & Birge, J. R. (2012), Optimization, 61(10), 1175–1177.
Randomly generating test problems for fuzzy relational equations: Hu, C. F., & Fang, S. C. (2012), Fuzzy Optimization and Decision Making, 11(1), 1–28.
Univariate cubic L-1 interpolating splines based on the first derivative and on 5-point windows: analysis, algorithm and shape-preserving properties: Jin, Q. W., Yu, L., Lavery, J. E., & Fang, S. C. (2012), Computational Optimization and Applications, 51(2), 575–600.
A canonical dual approach for solving linearly constrained quadratic programs: Xing, W. X., Fang, S. C., Sheu, R. L., & Wang, Z. T. (2012), European Journal of Operational Research, 218(1), 21–27.
A tropical cyclone-based method for global optimization: Chao, C. W., Fang, S. C., & Liao, C. J. (2012), Journal of Industrial and Management Optimization, 8(1), 103–115.
Inverse data envelopment analysis model to preserve relative efficiency values: The case of variable returns to scale: Lertworasirikul, S., Charnsethikul, P., & Fang, S. C. (2011), Computers & Industrial Engineering, 61(4), 1017–1023.
KKT solution and conic relaxation for solving quadratically constrained quadratic programming problems: Lu, C., Fang, S. C., Jin, Q. W., Wang, Z. B., & Xing, W. X. (2011), SIAM Journal on Optimization, 21(4), 1475–1490.
On the unique solvability of fuzzy relational equations: Li, P. K., & Fang, S. C. (2011), Fuzzy Optimization and Decision Making, 10(2), 115–124.
Set covering-based surrogate approach for solving sup-T equation constrained optimization problems: Hu, C. F., & Fang, S. C. (2011), Fuzzy Optimization and Decision Making, 10(2), 125–152.
A selfish routing based network improvement problem: Zhang, B. W., & Fang, S. C. (2011), Journal of Systems Science & Complexity, 24(1), 68–78.
Convergence and error bound of a d-gap function based newton-type algorithm for equilibrium problems: Zhang, L. P., Wu, S. Y., & Fang, S. C. (2010), Journal of Industrial and Management Optimization, 6(2), 333–346.
Extended canonical duality and conic programming for solving 0-1 quadratic programming problems: Lu, C., Wang, Z. B., Xing, W. X., & Fang, S. C. (2010), Journal of Industrial and Management Optimization, 6(4), 779–793.
On the global optimality of generalized trust region subproblems: Jin, Q. W., Fang, S. C., & Xing, W. X. (2010), Optimization, 59(8), 1139–1151.
Two-group knapsack game: Wang, Z. B., Xing, W. X., & Fang, S. C. (2010), Theoretical Computer Science, 411(7-9), 1094–1103.
Two-person knapsack game: Wang, Z. B., Xing, W. X., & Fang, S. C. (2010), Journal of Industrial and Management Optimization, 6(4), 847–860.
A Shadow-price based heuristic for capacity planning of TFT-LCD manufacturing: Chen, T. L., Lin, J. T., & Fang, S. C. (2010), Journal of Industrial and Management Optimization, 6(1), 209–239. https://doi.org/10.3934/jimo.2010.6.209
Global optimization for a class of fractional programming problems: Fang, S. C., Gao, D. Y., Sheu, R. L., & Xing, W. X. (2009), Journal of Global Optimization, 45(3), 337–353. https://doi.org/10.1007/s10898-008-9378-7
Minimizing a linear fractional function subject to a system of sup-T equations with a continuous Archimedean triangular norm: Li, P. K., & Fang, S. C. (2009), Journal of Systems Science & Complexity, 22(1), 49–62. https://doi.org/10.1007/s11424-009-9146-x
Robust univariate cubic L-2 spines: Interpolating data with uncertain positions of measurements: Averbakh, I., Fang, S. C., & Zhao, Y. B. (2009), (Vol. 5, pp. 351–361).
A note on solution sets of interval-valued fuzzy relational equations: Li, P., & Fang, S. C. (2009), Fuzzy Optimization and Decision Making, 8(1), 115–121.
Approximating term structure of interest rates using cubic L-1 splines: Chiu, N. C., Fang, S. C., Lavery, J. E., Lin, J. Y., & Wang, Y. (2008), European Journal of Operational Research, 184(3), 990–1004. https://doi.org/10.1016/j.ejor.2006.12.008
Canonical dual approach to solving 0-1 quadratic programming problems: Fang, S. C., Gao, D. Y., Sheu, R. L., & Wu, S. Y. (2008), Journal of Industrial and Management Optimization, 4(1), 124–142.
Geometric dual formulation for first-derivative-based univariate cubic L-1 splines: Zhao, Y. B., Fang, S. C., & Lavery, J. E. (2008), Journal of Global Optimization, 40(4), 589–621. https://doi.org/10.1007/s10898-006-9124-y
Global extremal conditions for multi-integer quadratic programming: Wang, Z. B., Fang, S. C., Gao, D. Y., & Xing, W. X. (2008), Journal of Industrial and Management Optimization, 4(2), 213–225.
On the resolution and optimization of a system of fuzzy relational equations with sup-T composition: Li, P., & Fang, S. C. (2008), Fuzzy Optimization and Decision Making, 7(2), 169–214.
Risk pooling strategy in a multi-echelon supply chain with price-sensitive demand: Dai, Y., Fang, S. C., Ling, X. L., & Nuttle, H. L. W. (2008), Mathematical Methods of Operations Research, 67(3), 391–421. https://doi.org/10.1007/s00186-007-0203-8
A new tunnel function method for global optimization: Zhang, L. S., Fang, S. C., & Wang, Y. (2008), Pacific Journal of Optimization, 4(1), 125–138.
Fuzzy optimization and decision making (vol 2, pg 41, 2003): Wang, S., Fang, S. C., & Nuttle, H. L. W. (2007),
Fuzzy optimization and decision making (vol 4, pg 331, 2005): Wang, S., Fang, S. C., & Nuttle, H. L. W. (2007),
Solving variational inequalities defined on a domain with infinitely many linear constraints: Fang, S. C., Wu, S., & Birbil, S. I. (2007), Computational Optimization and Applications, 37(1), 67–81. https://doi.org/10.1007/s10589-007-9013-4
A compressed primal-dual method for generating bivariate. cubic L-1 splines: Wang, Y., Fang, S. C., & Lavery, J. E. (2007), Journal of Computational and Applied Mathematics, 201(1), 69–87. https://doi.org/10.1016/j.cam.2006.02.005
A reduced Hsieh-Clough-Tocher element with splitting based on an arbitrary interior point: Peker, A. S., Lavery, J. E., & Fang, S. C. (2007), Journal of Mathematical Analysis and Applications, 333(1), 500–504. https://doi.org/10.1016/j.jmaa.2006.12.030
A tabu search algorithm for maximum parsimony phylogeny inference: Lin, Y. M., Fang, S. C., & Thorne, J. L. (2007), European Journal of Operational Research, 176(3), 1908–1917. https://doi.org/10.1016/j.ejor.2005.10.031
Capacity allocation with traditional and Internet channels: Dai, Y., Chao, X. L., Fang, S. C., & Nuttle, H. L. W. (2006), Naval Research Logistics, 53(8), 772–787. https://doi.org/10.1002/nav.20168
Constructing generalized mean functions using convex functions with regularity conditions: Zhao, Y. B., Fang, S. C., & Li, D. (2006), SIAM Journal on Optimization, 17(1), 37–51. https://doi.org/10.1137/040603838
Game theoretic analysis of a distribution system with customer market search: Dai, Y., Chao, X. L., Fang, S. C., & Nuttle, H. L. W. (2005), Annals of Operations Research, 135(1), 223–238. https://doi.org/10.1007/s10479-005-6243-7
On the finite termination of an entropy function based non-interior continuation method for vertical linear complementarity problems: Fang, S. C., Han, J. Y., Huang, Z. H., & Birbil, S. I. (2005), Journal of Global Optimization, 33(3), 369–391. https://doi.org/10.1007/s10898-004-6098-5
Pricing in revenue management for multiple firms competing for customers: Dai, Y., Chao, X. L., Fang, S. C., & Nuttle, H. L. W. (2005), International Journal of Production Economics, 98(1), 16–.
Shape-preserving properties of univariate cubic L-1 splines: Cheng, H., Fang, S. C., & Lavery, J. E. (2005), Journal of Computational and Applied Mathematics, 174(2), 361–382. https://doi.org/10.1016/j.cam.2004.05.003
A geometric programming approach for bivariate cubic L-1 splines: Wang, Y., & Fang, S. C. (2005), Computers & Mathematics With Applications, 49(4), 481–514.
A geometric programming framework for univariate cubic L-1 smoothing splines: Cheng, H., Fang, S. C., & Lavery, J. E. (2005), Annals of Operations Research, 133(03-Jan), 229–248. https://doi.org/10.1007/s10479-004-5035-9
Fuzzy formulation of auctions and optimal sequencing for multiple auctions: Fang, S. C., Nuttle, H. W. L., & Wang, D. W. (2004), Fuzzy Sets and Systems, 142(3), 421–441. https://doi.org/10.1016/S0165-0114(03)00127-1
On the convergence of a population-based global optimization algorithm: Birbil, S. I., Fang, S. C., & Sheu, R. L. (2004), Journal of Global Optimization, 30(03-Feb), 301–318. https://doi.org/10.1007/s10898-004-8270-3
Recursive approximation of the high dimensional max function: Birbil, S. I., Fang, S. C., Frenk, J. B. G., & Zhang, S. (2004), Operations Research Letters, 33(5), 450–458. https://doi.org/10.1016/j.orl.2004.11.004
Solvability of variational inequality problems: Han, J., Huang, Z. H., & Fang, S. C. (2004), Journal of Optimization Theory and Applications, 122(3), 501–520. https://doi.org/10.1023/B:JOTA.0000042593.74934.b7
Special issue on the International Conference on Optimization and Optimal Control (ICOOC), June 1-4, 2001 - Foreword: Wu, S. Y., & Fang, S. C. (2004), Journal of Global Optimization, 30(03-Feb), 119–120.
A neural network model with bounded-weights for pattern classification: Liao, Y., Fang, S. C., & Nuttle, H. L. W. (2004), Computers & Operations Research, 31(9), 1411–1426. https://doi.org/10.1016/S0305-0548(03)00097-2
An efficient algorithm for generating univariate cubic L-1 splines: Cheng, H., Fang, S. C., & Lavery, J. E. (2004), Computational Optimization and Applications, 29(2), 219–253. https://doi.org/10.1023/B:COAP.0000042031.03626.1b
An entropic regularization approach for mathematical programs with equilibrium constraints: Birbil, S. I., Fang, S. C., & Han, J. Y. (2004), Computers & Operations Research, 31(13), 2249–2262. https://doi.org/10.1016/S0305-0548(03)00176-X
An analytic center cutting plane method for solving semi-infinite variational inequality problems: Fang, S. C., Wu, S. Y., & Sun, J. (2004), Journal of Global Optimization, 28(2), 141–152. https://doi.org/10.1023/B:JOGO.0000015308.49676.ea
Fuzzy data envelopment analysis (DEA): a possibility approach: Lertworasirikul, S., Fang, S. C., Joines, J. A., & Nuttle, H. L. W. (2003), Fuzzy Sets and Systems, 139(2), 379–394. https://doi.org/10.1016/S0165-0114(02)00484-0
Manufacturing network flows: A generalized network flow model for manufacturing process modelling: Fang, S. C., & Qi, L. Q. (2003), Optimization Methods & Software, 18(2), 143–165. https://doi.org/10.1080/1055678031000152079
Relaxed conditions for radial-basis function networks to be universal approximators: Liao, Y., Fang, S. C., & Nuttle, H. L. W. (2003), Neural Networks, 16(7), 1019–1028. https://doi.org/10.1016/S0893-6080(02)00227-7
A genetic-based framework for solving (multi-criteria) weighted matching problems: Medaglia, A. L., & Fang, S. C. (2003), European Journal of Operational Research, 149(1), 77–101. https://doi.org/10.1016/S0377-2217(02)00484-8
An enhanced neural network learning using a self-tuning fuzzy neuron controller: Wu, P., Fang, S. C., & Nuttle, H. L. W. (2003), Journal of Intelligent & Fuzzy Systems, 14(2), 109–118.
An electromagnetism-like mechanism for global optimization: Birbil, S. I., & Fang, S. C. (2003), Journal of Global Optimization, 25(3), 263–282. https://doi.org/10.1023/A:1022452626305
Efficient neural network learning using second order information with fuzzy control: Wu, P. S., Fang, S. C., & Nuttle, H. L. W. (2002), Neurocomputing, 43(2002 Mar), 197–217. https://doi.org/10.1016/S0925-2312(01)00336-8
Entropic perturbation method for solving a system of linear inequalities: Chen, S. H., Fang, S. C., & Tsao, H. S. J. (2002), Journal of Computational and Applied Mathematics, 145(1), 133–149. https://doi.org/10.1016/S0377-0427(01)00540-4
Fuzzy controlled simulation optimization: Medaglia, A. L., Fang, S. C., & Nuttle, H. L. W. (2002), Fuzzy Sets and Systems, 127(1), 65–84. https://doi.org/10.1016/S0165-0114(01)00153-1
Multi-objective optimization problems with fuzzy relation equation constraints: Loetamonphong, H., Fang, S. C., & Young, R. E. (2002), Fuzzy Sets and Systems, 127(2), 141–164. https://doi.org/10.1016/S0165-0114(01)00052-5
Univariate cubic L-1 splines - A geometric programming approach: Cheng, H., Fang, S. C., & Lavery, J. E. (2002), Mathematical Methods of Operations Research, 56(2), 197–229. https://doi.org/10.1007/s001860200216
An efficient and flexible mechanism for constructing membership functions: Medaglia, A. L., Fang, S. C., Nuttle, H. L. W., & Wilson, J. R. (2002), European Journal of Operational Research, 139(1), 84–95. https://doi.org/10.1016/S0377-2217(01)00157-6
Optimization of fuzzy relation equations with max-product composition: Loetamonphong, J., & Fang, S. C. (2001), Fuzzy Sets and Systems, 118(3), 509–517. https://doi.org/10.1016/S0165-0114(98)00417-5
Solving general capacity problem by relaxed cutting plane approach: Wu, S. Y., Fang, S. C., & Lin, C. J. (2001), Annals of Operations Research, 103(2001), 193–211. https://doi.org/10.1023/A:1012907206299
Solving nonlinear optimization problems with fuzzy relation equation constraints: Lu, J. J., & Fang, S. C. (2001), Fuzzy Sets and Systems, 119(1), 1–20. https://doi.org/10.1016/S0165-0114(98)00471-0
Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme: Fang, S. C., Lin, C. J., & Wu, S. Y. (2001), Journal of Computational and Applied Mathematics, 129(1-2), 89–104. https://doi.org/10.1016/S0377-0427(00)00544-6
Untitled - Foreword: Scott, C., & Fang, S. C. (2001), Annals of Operations Research, 105(2001), 13–14.
Neurocomputing with time delay analysis for solving convex quadratic programming problems: Chen, Y. H., & Fang, S. C. (2000), IEEE Transactions on Neural Networks, 11(1), 230–240. https://doi.org/10.1109/72.822526
Simulation Modeling of the textile supply chain - Part 1: The textile-plant models: Nuttle, H. L. W., King, R. E., Hunter, N. A., Wilson, J. R., & Fang, S. C. (2000), Journal of the Textile Institute, 91(1), 35–50. https://doi.org/10.1080/00405000008659526
Simulation Modeling of the textile supply chain - Part II: Results and research directions: Nuttle, H. L. W., King, R. E., Fang, S. C., Wilson, J. R., & Hunter, N. A. (2000), Journal of the Textile Institute, 91(1), 51–64. https://doi.org/10.1080/00405000008659527
Solving a system of infinitely many fuzzy inequalities with piecewise linear membership functions: Hu, C.-F., & Fang, S.-C. (2000), Computers & Mathematics With Applications, 40(6-7), 721–733. https://doi.org/10.1016/S0898-1221(00)00191-7
Linear programming with fuzzy coefficients in constraints: Fang, S. C., Hu, C. F., Wang, H. F., & Wu, S. Y. (1999), Computers & Mathematics With Applications, 37(10), 63–76. https://doi.org/10.1016/S0898-1221(99)00126-1
Sequencing parallel machining operations by genetic algorithms: Chiu, N. C., Fang, S. C., & Lee, Y. S. (1999), Computers & Industrial Engineering, 36(2), 259–280. https://doi.org/10.1016/S0360-8352(99)00132-1
Soft computing for multicustomer due-date bargaining: Wang, D. W., Fang, S. C., & Nuttle, H. L. W. (1999), IEEE Transactions on Systems, Man, and Cybernetics. Part C, Applications and Reviews, 29(4), 566–575. https://doi.org/10.1109/5326.798770
Solving convex programs with infinitely many linear constraints by a relaxed cutting plane method: Wu, S. Y., & Fang, S. C. (1999), Computers & Mathematics With Applications, 38(3-4), 23–33. https://doi.org/10.1016/S0898-1221(99)00203-5
Solving fuzzy inequalities with piecewise linear membership functions: Hu, C.-F., & Fang, S.-C. (1999), IEEE Transactions on Fuzzy Systems, 7(2), 230–235. https://doi.org/10.1109/91.755403
Solving fuzzy relation equations with a linear objective function: Fang, S. C., & Li, G. Z. (1999), Fuzzy Sets and Systems, 103(1), 107–113. https://doi.org/10.1016/S0165-0114(97)00184-X
A relaxed cutting plane algorithm for solving fuzzy inequality systems: Hu, C.-F., & Fang, S.-C. (1999), Optimization, 45(1-4), 89–106.
An efficient solution procedure for fuzzy relation equations with max-product composition: Loetamonphong, J., & Fang, S. C. (1999), IEEE Transactions on Fuzzy Systems, 7(4), 441–445. https://doi.org/10.1109/91.784204
Optimal cutter selection and machining plane determination for process planning and NC machining of complex surfaces: Chen, Y. H., Lee, Y. S., & Fang, S. C. (1998), Journal of Manufacturing Systems, 17(5), 371–388. https://doi.org/10.1016/S0278-6125(98)80004-6
Quantitative management techniques and application in Taiwan: Fang, S. C., & Kao, C. (1998), International Journal of Operations and Quantitative Management, 4(3).
Relaxed cutting plane method for solving linear semi-infinite programming problems: Wu, S. Y., Fang, S. C., & Lin, C. J. (1998), Journal of Optimization Theory and Applications, 99(3), 759–779. https://doi.org/10.1023/A:1021763419562
Solving convex programming problems with equality constraints by neural networks: Chen, Y. H., & Fang, S. C. (1998), Computers & Mathematics With Applications, 36(7), 41–68. https://doi.org/10.1016/S0898-1221(98)00172-2
Solving fuzzy inequalities with concave membership functions: Hu, C.-F., & Fang, S.-C. (1998), Fuzzy Sets and Systems, 99(2), 233–240. https://doi.org/10.1016/S0165-0114(97)00013-4
Solving interval-valued fuzzy relation equations: Li, G. Z., & Fang, S.-C. (1998), IEEE Transactions on Fuzzy Systems, 6(2), 321–324. https://doi.org/10.1109/91.669033
A fuzzy due-date bargainer for the make-to-order manufacturing systems: Wang, D. W., Fang, S. C., & Hodgson, T. J. (1998), IEEE Transactions on Systems, Man, and Cybernetics. Part C, Applications and Reviews, 28(3), 492–497. https://doi.org/10.1109/5326.704596
A global-filtering algorithm for linear programming problems with stochastic elements: Guan, S. H., & Fang, S.-C. (1998), Mathematical Methods of Operations Research, 48(3), 287–316. https://doi.org/10.1007/s001860050029
An unconstrained convex programming approach to linear semi infinite programming: Lin, C. J., Fang, S.-C., & Wu, S. Y. (1998), SIAM Journal on Optimization, 8(2), 443–456. https://doi.org/10.1137/S105262349427621X
Linear programming with stochastic elements: An on-line approach: Guan, S. H., & Fang, S.-C. (1997), Computers & Mathematics With Applications, 33(9), 61–82. https://doi.org/10.1016/S0898-1221(97)00066-7
On the entropic regularization method for solving min-max problems with applications: Li, X. S., & Fang, S. C. (1997), Mathematical Methods of Operations Research, 46(1), 119–130. https://doi.org/10.1007/BF01199466
Perturbing the dual feasible region for solving convex quadratic programs: Fang, S.-C., & Tsao, H. S. J. (1997), Journal of Optimization Theory and Applications, 94(1), 73–85. https://doi.org/10.1023/A:1022655502360
A fuzzy expert system model for RF receiver module testing: Lu, J.-J., Brinkley, P., & Fang, S.-C. (1997), International Journal of Systems Science, 28(8), 791–798.
A genetics-based approach for aggregated production planning in a fuzzy environment: Wang, D. W., & Fang, S.-C. (1997), IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 27(5), 636–645. https://doi.org/10.1109/3468.618262
A global-filtering algorithm for linear programming problems with stochastic elements: Wang, D. W., & Fang, S. C. (1997), IEEE Transactions on Systems, Man, and Cybernetics. Part A, Systems and Humans, 27(5), 636–645.
A maximum entropy optimization approach to tandem queues with generalized blocking: Part I - Infinite demand: Mishra, S., & Fang, S.-C. (1997), Performance Evaluation, 30(4), 217–241. https://doi.org/10.1016/S0166-5316(96)00061-2
The point-to-point connection problem: Analysis and algorithms: Natu, M., & Fang, S.-C. (1997), Discrete Applied Mathematics [Amsterdam, Netherlands], 78(1-3), 207–226.

View all publications via NC State Libraries

Edward P. Fitts Department of Industrial & Systems Engineering