Basic Principles
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Item An approach to develop Multi Techniques Integrated Expert System for Diagnosis of Human Constitutions(2008) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.This paper presents a multi techniques integrated expert system for diagnosis of Prakurthi in Ayurvedic medicine. The present mechanisms used for diagnosis of Prakurthi, which is considered, as classification of human constitutions and is inconsistent about its findings. Therefore a research has been conducted to reduce such inconsistencies using an expert system. In this issue multi techniques integrated expert system has been implemented for addressing the problem. Statistical technique and fuzzy logic have been described as multi techniques involved in the expert system. Tacit knowledge has always been influential to change the directions and emphasis of explicit models of knowledge. All explicit knowledge is rooted in tacit knowledge. Due to these reasons modelling of tacit knowledge is of great interest. Tacit knowledge in Ayurvedic sub-domain of individual classification has been acquired through a questionnaire and analysed to identify the dependencies, which lead to make tacit knowledge in the particular domain. In the first place analysis was done using statistical techniques of principal components and the results were not compatible with the experiences of Ayurvedic experts. As such, fuzzy logic has been used to further model the Ayurvedic sub-domain. The result of the modelling of Ayurvedic domain using fuzzy logic has been compatible with the experiences of the Ayurvedic experts. A framework for diagnosis of human constitutions has been integrated with an expert system shell thereby enabling the development of expert systems for domains with tacit knowledge. Currently, it has been integrated with FLEX expert system shell.Item Using intelligent techniques for widening scope of real world problem solving(2002) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.This paper presents a real world application where intelligent techniques have given promising results when statistical methods fail. Here we have considered the domain of Ayurvedic classification of individuals. Ayurvedic classification on individuals is based on analysis of a questionnaire. The questionnaire has been used over many years without any research into its improvement. So, classification using this method is still vague and subjective. An intelligent hybrid system has been developed to recognize human constituents. The system consists of modules using two intelligent techniques, namely, Fuzzy logic and Expert system. The statistical analysis on questionnaire of pilot study shows that principal component (PC) are not significant to consider. However, according to intelligent system developed, there is a significant difference between what we conclude with PC analysis and without PC analysis, provided that intelligent technique of Fuzzy logic is used. This is an interesting result that shows limitation of statistical techniques and how intelligent systems can be used for improving decision making.Item Modeling of Tacit Knowledge(2003) Mendis D.S.K.; Karunananda, A.S.; Samarathunga, U.Tacit knowledge has always been influential in changing the directions and emphasis of explicit models of knowledge. All explicit knowledge is rooted in tacit knowledge. Due to these reasons modelling of tacit knowledge is of great interest. A research has been conducted to develop an approach to model tacit knowledge. In this research, we have used Artificial Intelligence technique of fuzzy logic for developing an approach to model tacit knowledge. We have considered domain of “Ayurvedic” medicine as a case study domain with tacit knowledge. Tacit knowledge in Ayurvedic sub-domain of individual classification has been acquired through a questionnaire and analysed to identify the dependencies, which lead to make tacit knowledge in the particular domain. In the first place analysis was done using statistical techniques of principle components and the results were not compatible with the experiences of Ayurvedic experts. As such, fuzzy logic has been used to further model the Ayurvedic subdomain. The result of the modelling of Ayurvedic domain using fuzzy logic has been compatible with the experiences of the Ayurveic experts. A framework for modelling tacit knowledge has been integrated with an expert system shell thereby enabling the development of expert systems for domains with tacit knowledge. Framework has been successfully applied for several tacit domains.Item An approach to the development of commonsense knowledge modeling system for disaster management(Springer, 2007) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.; Rathnayake, U.Knowledge is the fundamental resource that allows us to function intelligently. Similarly, organizations typically use different types of knowledge to enhance their performance. Commonsense knowledge that is not well formalized modelling is the key to disaster management in the process of information gathering into a formalized way. Modelling commonsense knowledge is crucial for classifying and presenting of unstructured knowledge. This paper suggests an approach to achieving this objective, by proposing a three-phase knowledge modelling approach. At the initial stage commonsense knowledge is converted into a questionnaire. Removing dependencies among the questions are modelled using principal component analysis. Classification of the knowledge is processed through fuzzy logic module, which is constructed on the basis of principal components. Further explanations for classified knowledge are derived by expert system technology. We have implemented the system using FLEX expert system shell, SPSS, XML and VB. This paper describes one such approach using classification of human constituents in Ayurvedic medicine. Evaluation of the system has shown 77% accuracy