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Currently, the most common method that tourists make decisions on selecting their preferred hotels is a data analysis from online reviews of experienced tourists to support the decision. Unfortunately, tourists must read enormous reviews in order to select the preferred hotels. This paper presents the design and development of an automatic knowledge extraction system from online hotel reviews of tourists...
In this paper, an integration of fuzzy logic controller (FLC) and genetic algorithm (GA) is developed with a view to make the design process fully automatic, without requiring any human expert knowledge. Here, GA is used in two stages simultaneously: the first stage involves selection and definition of fuzzy rules, while the second stage performs an optimal selection of membership function types associated...
This paper presents a framework called Real Time Multi Logic Reasoner (RT-MLR) to perform high level data fusion. RT-MLR reconciles the development of Knowledge Based Systems (KBS) with the object-oriented architectures and on-line real-time monitoring requirements. This framework has been implemented with an inference engine that supports a data driven approach and knowledge expressed in First-Order...
This paper presents a comparison of various fuzzy expert system shells and describes the development of a fuzzy expert system shell intended for Arab users. The purpose of this shell is to provide Arab users with the ability to develop fuzzy expert systems using a simple Graphical User Interface. The shell is regarded as a general purpose shell. It is based on the implication methods: Rs, Rg, Rgs,...
The fuzzy logic and expert system are important techniques to enhance the level of machine reasoning. Object-oriented techniques have been widely adopted to create expert systems. In this paper, we propose a novel object-oriented fuzzy expert system framework which constructs large-scale knowledge-based system effectively. In this method, rules and facts in the system are organized into different...
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