acceptance sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. a number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. the acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...

The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT’s role as a business enabler. The latter is here denoted IT governance performance, and cannot be controlled by IT management directly. Their realm of control includes IT governance maturity, indicated by e.g. different IT activities, documents, metrics and roles. Current IT govern...

This paper proposes a new Intelligent Tutoring System based on Belief networks. The unique features of this system are as follows: 1.The Student model is represented by belief networks which has a Dirichret distribution as a prior, 2. The structure of the student model is constructed from the data-base by maximizing the predict distribution, and 3. Instruction strategies are described as utili9...

Acceptance Sampling models have been widely applied in companies for the inspection and testing the raw material as well as the final products. A number of lots of the items are produced in a day in the industries so it may be impossible to inspect/test each item in a lot. The acceptance sampling models only provide the guarantee for the producer and consumer that the items in the lots are acco...

Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to support its decision making instead of principles of utility maximization. Decision rules can be derived from different modelling approaches. In a previous study, it was shown that Bayesian networks out...

Ratcliff, Gomez and McKoon (2004) suggested much of what goes on in lexical decision is attributable to decision processes, and may not be particularly informative about word recognition. They proposed that lexical decision should be characterized by a decision process, taking the form of a drift-diffusion model (Ratcliff, 1978), which operates on the output of lexical model. The present paper ...

After describing the underlying cognitive principles, we wil l introduce the decision representation space and its related notations. We wil l then show the difficulties linked to the search of an optimal representation of the expert strategies set and how the heuristics used by the algorithm studied avoid these NP-complete problems. Finally, the current results and our work perspectives are st...

Faced with today’s ill-structured business environment of fast-paced change and rising uncertainty, organizations have been searching for management tools that will perform satisfactorily under such ambiguous conditions. In the arena of managerial decision-making, one of the approaches being assessed is the use of intuition. Based on our definition of intuition as a non-sequential information p...

Suggesting a correct treatment plan for dental caries based on inter-causal association between different sign-symptoms is really a thoughtful task for dentist. A novel approach for diagnosing and deciding the course of treatment for dental caries is presented here. The inference mechanism based on the Bayesian Network (BN), has been designed to decide among various treatment plans. BN has been...