Abraham Kandel
Affiliations: | Florida State University, Tallahassee, FL, United States | ||
University of South Florida, Tampa, FL, United States |
Area:
Computer ScienceGoogle:
"Abraham Kandel"Parents
Sign in to add mentorShlomo Karni | grad student | 1978 | Univ. of New Mexico (E-Tree) | |
(Fuzzy Probability and Probabilistic Processes) |
Children
Sign in to add traineeYanqing Zhang | grad student | 1997 | University of South Florida |
Scott H. Dick | grad student | 2002 | University of South Florida |
Adam Schenker | grad student | 2003 | University of South Florida |
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Publications
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Ngan RT, Son LH, Ali M, et al. (2020) Representing complex intuitionistic fuzzy set by quaternion numbers and applications to decision making Applied Soft Computing. 87: 105961 |
Tamir DE, Mueller CJ, Kandel A. (2016) Complex fuzzy logic reasoning-based methodologies for quantitative software requirements specifications Studies in Computational Intelligence. 617: 153-172 |
Tamir DE, Rishe ND, Kandel A. (2015) Complex fuzzy sets and complex fuzzy logic an overview of theory and applications Studies in Fuzziness and Soft Computing. 326: 661-681 |
Tamir DE, Rishe ND, Last M, et al. (2015) Soft computing based epidemical crisis prediction Studies in Computational Intelligence. 563: 43-67 |
Karpenko D, Van Gorder RA, Kandel A. (2014) The Cauchy problem for complex fuzzy differential equations Fuzzy Sets and Systems. 245: 18-29 |
Kandel A, Tamir D, Rishe ND. (2014) Fuzzy logic and data mining in disaster mitigation Nato Science For Peace and Security Series C: Environmental Security. 143: 167-186 |
Ding Z, Ma J, Kandel A. (2013) Petri Net Representation of Switched Fuzzy Systems Ieee Transactions On Fuzzy Systems. 21: 16-29 |
Ding Z, Shen H, Kandel A. (2013) Hypergraph partitioning for the parallel computing of fuzzy differential equations Fuzzy Sets and Systems. 230: 142-161 |
Tamir DE, Last M, Kandel A. (2013) On fuzziness in complex fuzzy systems Studies in Fuzziness and Soft Computing. 299: 665-672 |
Alberg D, Kandel A. (2012) Knowledge discovery in data streams with regression tree methods Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. 2: 69-78 |