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Association rule mining makes interesting associations and/or correlations among large sets of data. Those associations can be refined as decision rules to be used and stored in a knowledge base system. In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. According to the features of association rule, the...
The main purpose of this paper is to present a new approach for High-Stake Decision Support Systems. We introduce the challenge of the exploitation of heterogeneous community-based knowledge for decision-aid in critical situations. Knowledge shared in e-communities can be very rich, but is also inherently chaotic and questionable. Such uncontrolled knowledge is not usually considered in High-Stake...
In this paper, we propose a rule-based system for semantically understanding and analyzing the motion of the trajectories of the human activity. The proposed system can be used as a preprocessing phase for enhancing the object detection process. Detected trajectories are classified into three categories; normal, semi-normal and abnormal trajectories according to the distances between their adjacent...
A discussion on involvement of knowledge based methods in implementation of user friendly computer programs for disabled people is the goal of this paper. The paper presents a concept of a computer program that is aimed to aid blind people dealing with music and music notation. The concept is solely based on computational intelligence methods involved in implementation of the computer program. The...
We present a mediation system, developed to give support to participants in mechanical-system-designer activities. Sufficient assistance is needed to facilitate and coordinate actors' activities. To accomplish this goal we introduce an artificial actor: Mediator. Mediator takes part to collaborative activity, with a specific role of facilitating cooperation between designers. This role of assistance,...
The liver is a common site for the occurrence of tumors. Automatic hepatic lesion segmentation is a crucial step for diagnosis and surgery planning. This paper presents a new fully automatic technique to segment the tumors in liver structure with no interaction from user. Contrast enhancement is applied to the slices of segmented liver, then adding each image to itself to have a white image with some...
Research on the future of the Egyptian tourism industry has become the subject of countless studies and debates. Different wildcards have high impacts on this crucial industry and ultimately of the future of the Egyptian national income. This paper is about an Intelligent Decision Support System (DSS) that specifically focuses on assessing the impacts of wildcards on the future revenues of the Egyptian...
This work proposes a decision support technology to minimize risks while choosing among competitive investment projects. The technology combines two fuzzy-statistical methods, providing two stages of investment projects' evaluation. At the first stage preliminary selection of projects with small risks is made on the basis of the expertons method [2],[3]. The second stage makes more precise decisions...
In this paper a parallel optoelectronic computer architecture is proposed for expert systems in order to achieve high speed and high performance for parallel processing of rule-based systems. The proposed system is modeled and implemented using a two-dimensional space optics symbolic correlator to perform the comparison operations of the expert system. Also in this paper, an optoelectronic system...
This paper proposes the use of a RuleML format rulebase using Reaction RuleML that can be used to support the development of automated web interface. Database metadata can be extracted from system catalogue tables in typical relational database systems, and used in conjunction with the rulebase to produce appropriate web form elements. First results show that this mechanism successfully insulates...
A challenge in the recommender systems currently available for the tourism domain is how to suggest tourist itineraries in a specific geographical area (city or region). The proposed theoretical model allows items of intangible cultural heritage (events) such as processions, festivals, special markets, etc. to be characterized and correlated. The model features both a set of functions characterizing...
To recognize unlimited set of handwritten Arabic words, an efficient segmentation algorithm is needed to segment these cursive words into a limited set of primal graphemes. We propose a rule-based segmentation algorithm that segments cursive words into graphemes through collecting special feature points from the word skeleton. The development of this algorithm is motivated by the need to solve problems...
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