A large proportion of offenders in the criminal justice system have alcohol-related problems. Therefore, it makes sense to implement alcohol screening and brief intervention programs for people in this setting, particularly for impaired driving offenders, who are likely to be alcohol dependent. Although most States mandate screening for impaired drivers, not much effort has been put forth to de...

The cognition of spatial objects differs among people and is highly influenced by the context in which a spatial object is perceived. We investigated experimentally how humans perceive geometric figures in geometric proportional analogies and discovered that subjects perceive structures within the figures which are suitable for solving the analogy. Humans do not perceive the elements within a f...

Several approaches generalizing association rules to fuzzy association rules have been proposed so far. While the formal specification of fuzzy associations is more or less straightforward, the evaluation of such rules by means of appropriate quality measures assumes an understanding of the semantic meaning of a fuzzy rule. In this respect, most existing proposals can be considered ad-hoc to so...

The present paper describes the development of a simple yet effective gain scheduling type fuzzy PID controller algorithm that can employ fuzzy adaptation to dynamically vary conventional PID controller gain(s). While one scheme can dynamically vary the reset rate only, an even improved scheme can effectively vary both proportional gain and reset rate of a PID controller simultaneously, employi...

Two ingredients of soft computing, evolutionary computing and fuzzy logic can be combined in a way that makes them beneet from one another. An evolutionary algorithm can evolve fuzzy systems, while fuzzy logic can be used to control evolution to speed up convergence to a global optimum and escape from local optima. Besides, concepts that are inherent in the workings of evolutionary algorithms, ...

This paper proposes a new hybrid time series forecasting system which is the fusion of the fuzzy system and the artificial neural network. The proposed fuzzy-neural system consists of 5 layers: the input layer, the fuzzification layer, the inference layer, the hidden layer, and the output layer. The artificial neural network is used as the fuzzy inference engine, while the genetic algorithm is ...

In this paper, a fuzzy controller type Takagi_Sugeno zero order is optimized by the method of hybrid Particle Swarm Optimization (PSO) and Tabu Search (TS). The algorithm automatically adjusts the membership functions of fuzzy controller inputs and the conclusions of fuzzy rules. At each iteration of PSO, we calculate the best solution and we seek the best neighbor by Tabu search, this operatio...

This paper proposes a fuzzy clustering algorithm for fuzzy modeling. The algorithm is based on the assumption that, with an input fully matching with the premise part of a specific fuzzy rule, the corresponding output should completely participate in the consequent part. In order to accomplish this, certain conditions are satisfied. The application of the algorithm to two test cases, which have...

Modern general system theory proposed a holistic integrative approach based on input-state-output dynamics as opposed to the traditional reductionist detail based approach. Information complexity and uncertainty required a fuzzy system theory, based on fuzzy sets and fuzzy logic. While successful in dealing with analysis, synthesis and control of technical engineering systems, general system th...