@article{li_fang_2009, title={A note on solution sets of interval-valued fuzzy relational equations}, volume={8}, ISSN={["1573-2908"]}, DOI={10.1007/s10700-009-9055-4}, number={1}, journal={FUZZY OPTIMIZATION AND DECISION MAKING}, author={Li, Pingke and Fang, Shu-Cherng}, year={2009}, month={Mar}, pages={115–121} }
 @misc{li_fang_2009, title={A survey on fuzzy relational equations, part I: Classification and solvability}, volume={8}, number={2}, journal={Fuzzy Optimization and Decision Making}, author={Li, P. K. and Fang, S. C.}, year={2009}, pages={179–229} }
 @article{li_fang_2009, title={Latticized Linear Optimization on the Unit Interval}, volume={17}, ISSN={1063-6706 1941-0034}, url={http://dx.doi.org/10.1109/tfuzz.2009.2031561}, DOI={10.1109/TFUZZ.2009.2031561}, abstractNote={This paper considers the latticized linear optimization (LLO) problem and its variants, which are a special class of optimization problems constrained by fuzzy relational equations or inequalities. We show that an optimal solution to such a problem can be obtained in polynomial time as long as the objective function is a max-separable function with continuous monotone components. We further show that the set of all optimal solutions is fully determined by one maximum optimal solution and a finite number of minimal optimal solutions. The maximum optimal solution can be constructed in polynomial time once the optimal objective value is known, while the detection of all minimal optimal solutions in an efficient manner remains as a challenging problem. The relation between LLO and max-separable optimization and related issues are also investigated.}, number={6}, journal={IEEE Transactions on Fuzzy Systems}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Li, Pingke and Fang, Shu-Cherng}, year={2009}, month={Dec}, pages={1353–1365} }
 @article{li_fang_2009, title={Minimizing a linear fractional function subject to a system of sup-T equations with a continuous Archimedean triangular norm}, volume={22}, ISSN={["1559-7067"]}, DOI={10.1007/s11424-009-9146-x}, number={1}, journal={JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY}, author={Li, Pingke and Fang, Shu-Cherng}, year={2009}, month={Mar}, pages={49–62} }
 @article{li_liu_2008, title={Entropy of credibility distributions for fuzzy variables}, volume={16}, ISSN={["1941-0034"]}, DOI={10.1109/TFUZZ.2007.894975}, abstractNote={This paper deals with the degree of uncertainty associated with fuzzy variables. Based on the notion of credibility measure, a definition of entropy is formulated from an information theoretical view and its properties are investigated. Finally, some comments are given on the construction of alternative definitions of entropy and axiomatic characterization.}, number={1}, journal={IEEE TRANSACTIONS ON FUZZY SYSTEMS}, author={Li, Pingke and Liu, Baoding}, year={2008}, month={Feb}, pages={123–129} }
 @misc{li_fang_2008, title={On the resolution and optimization of a system of fuzzy relational equations with sup-T composition}, volume={7}, ISSN={["1573-2908"]}, DOI={10.1007/s10700-008-9029-y}, number={2}, journal={FUZZY OPTIMIZATION AND DECISION MAKING}, author={Li, Pingke and Fang, Shu-Cherng}, year={2008}, month={Jun}, pages={169–214} }