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» Computing Fuzzy Answer Sets Using dlvhex
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TFS
2008
174views more  TFS 2008»
14 years 9 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
TSMC
2008
137views more  TSMC 2008»
14 years 9 months ago
A Type-2 Self-Organizing Neural Fuzzy System and Its FPGA Implementation
This paper proposes a type-2 self-organizing neural fuzzy system (T2SONFS) and its hardware implementation. The antecedent parts in each T2SONFS fuzzy rule are interval type-2 fuzz...
Chia-Feng Juang, Yu-Wei Tsao
ICTAI
2003
IEEE
15 years 2 months ago
An Intelligent Early Warning System for Software Quality Improvement and Project Management
One of the main reasons behind unfruitful software development projects is that it is often too late to correct the problems by the time they are detected. It clearly indicates th...
Xiaoqing Frank Liu, Gautam Kane, Monu Bambroo
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PODS
2005
ACM
147views Database» more  PODS 2005»
15 years 9 months ago
Peer data exchange
Abstract. We present a semantics and answer set programs for relational peer data exchange systems. When a peer answers a query, it exchanges data with other peers in order to supp...
Ariel Fuxman, Phokion G. Kolaitis, Renée J....
CEC
2007
IEEE
14 years 11 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...