expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

In this paper, distributed single relay selection in cooperative wireless networks is modeled as a Chinese restaurant game (CRG). Specifically, the CRG is used to model strategic relay selection decisions of source nodes, taking into account negative network externality due to the potential sharing of relay nodes among source nodes. Two cases are studied as follows: (i) perfect relay transmit p...

Abstract Central tolerance aims to limit the production of T lymphocytes bearing TCR with high affinity for self-peptide presented by MHC molecules. The accumulation thymocytes such receptors is limited negative selection or diversion into alternative differentiation, including regulatory cell commitment. A role orphan nuclear receptor NR4A3 in has been suggested, but its function this process ...

Run-time malware detection strategies are efficient and robust, which get more and more attention. In this paper, we use I/O Request Package (IRP) sequences for malware detection. N-gram will be used to analyze IRP sequences for feature extraction. Integrated use of Negative Selection Algorithm (NSA) and Positive Selection Algorithm (PSA), we get more than 96% true positive rate and 0% false po...

Vendor selection decisions are complicated by the fact that various conflicting multi-objective factors must be considered in the decision making process. The problem of vendor selection becomes still more compli-cated with the inclusion of incremental discount pricing schedule. Such hard combinatorial problems when solved using meta heuristics produce near optimal solutions. This paper propose...

Negative Selection Algorithm (NSA) is an important artificial immune data classifiers generation method in Artificial Immune System (AIS) research. However, with the increase of the data dimensions, the current data classification algorithms which based on NSA exist the problems of excessive number of generated classifiers and too low classifier generation efficiency. In this paper, the Dual Ne...