Robert Young

Reamer, A. C., Ivy, J. S., Vila-Parrish, A. R., & Young, R. E. (2015). Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach. COMPUTERS IN HUMAN BEHAVIOR, 47, 4–17. https://doi.org/10.1016/j.chb.2014.09.037

Carrano, A. L., Taylor, J. B., Young, R. E., Lemaster, R. L., & Saloni, D. E. (2004). Fuzzy knowledge-based modeling and statistical regression in abrasive wood machining. Forest Products Journal, 54(5), 66–72.

Loetamonphong, H., Fang, S. C., & Young, R. E. (2002). Multi-objective optimization problems with fuzzy relation equation constraints. FUZZY SETS AND SYSTEMS, 127(2), 141–164. https://doi.org/10.1016/S0165-0114(01)00052-5

Zukin, M., & Young, R. E. (2001). Applying fuzzy logic and constraint networks to a problem of manufacturing flexibility. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 39(14), 3253–3273. https://doi.org/10.1080/00207540110053570

Ress, D. A., & Young, R. E. (1998). A distributed fuzzy constraint satisfaction system with context-based reasoning. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 48(3), 393–407. https://doi.org/10.1006/ijhc.1997.0177

Giachetti, R. E., Young, R. E., Roggatz, A., Eversheim, W., & Perrone, G. (1997). A methodology for the reduction of imprecision in the engineering process. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 100(2), 277–292. https://doi.org/10.1016/S0377-2217(96)00290-1

Giachetti, R. E., & Young, R. E. (1997). A parametric representation of fuzzy numbers and their arithmetic operators. FUZZY SETS AND SYSTEMS, 91(2), 185–202. https://doi.org/10.1016/S0165-0114(97)00140-1

Giachetti, R. E., & Young, R. E. (1997). Analysis of the error in the standard approximation used for multiplication of triangular and trapezoidal fuzzy numbers and the development of a new approximation. FUZZY SETS AND SYSTEMS, 91(1), 1–13. https://doi.org/10.1016/S0165-0114(96)00118-2