Basic Principles

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Start date: 2012Has files: No

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    Girimananda Sutta: Holistic Approach for development of commonsense knowledge system in clinical psychology
    (2012) Mendis, D.S.K.; Karunananda, A.S.; Samarathunga, U.
    The Buddhists believe that Girimananda sutta has some unseen power in healing the sick. In one of the discourses known as Girimananda Sutta, the Buddha talks about the causes of sickness and disease as originating from an imbalance of bile (pita), phlegm (kapha), wind (vata), from conflict of the humours, from changes of weather, from adverse condition (which here mearls faulty deportment), from devices, fi'om the result of kamma (kamma-vipaka); cold, heat, hunger, thirst, excrement, and urine. Ayurvedic medicine is prepared on the grounds of ill-balance ofthese constituents in a person. Ayurvedic medicine has a.very strong bearing on the concept of Prakurthi, which means nature (natural fo.m) of the build and constitution of the human body. Ayurvedic clinical psychology forms the clinical core of mental health counseling. According Ayurvedic medical practises, a person is dominatedon one of constitutes type (type of dosa)namely vata (vayu), pita (apo) or kapha (semha/.This is known as prakurthi pariksha. Important aspect of identification of constitute type is for diagnosis of mental diseases, because each ofconstituent type has a list ofprobable mental diseases. An important areaof expertise for many clinical psychologists is psychological assessment. Constructions of Information systems using psychological assessment in clinical psychology have a problem of effective communication because of implicit knowledge. This complicates the effective communication of clinical data to the psychologist in support of clinical psychology. The airn of the approach is to identify the influences of developing commonsense knowledge systems for psychological assessments in clinical psychology. The objectives should a) contribute to a better understanding of the transformation processes in commonsense knowledge related with concept of Prakurthi evolved by Girimananda Sutta and b) provide effective communication of data to the user in real-time machine processing in support of clinical psychology. In this paper we present a methodology to develop commonsense knowledge system in clinical psychology. At the initial stage commonsense knowledge relevant to dosa is converted into a questionnaire. Removing dependencies among the questions are modeled using principal component analysis. Classification for degre e of dasa is processed throughfuzry logic module, which is constructed on the basis of principal components" Further explanations for classified knowledge are derived by expert system technology. Evaluation of the system has shown 77% accuracy.
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    An approach to the development of commonsense knowledge modelling systems for land selection
    (2012) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.
    The land use methods which are ergonomically and environmentally appropriate are determined first and foremost by characteristics and location. For instance, land selection in architectural construction domain is considered as an area in land use methods, which involves commonsense knowledge of architects. This is because land selection criteria are very personal and there is no theory behind how it should be done. Sometime, there are too many redundancies in the process selection of lands. In this paper we present an approach to modeling commonsense knowledge in a sub field of architecture domain of land selection to come up with land classifications as psychological, physical and social events. This gives three-phase knowledge modeling approach for modeling commonsense knowledge in, which enables holistic approach for land selection. At the initial stage commonsense knowledge is converted into a questionnaire. Removing dependencies among the questions are modeled 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. This paper describes one such approach using classification of human constituents in Ayurvedic medicine. Evaluation of the system has shown 77% accuracy.
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    A fuzzy expert system for business intelligence
    (2013) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.; Rathnayake, U.
    Business Intelligence (BI) is recognized as an increasingly important support for business decision making in emerging business environment, where a huge amount of data is growing fast and scattered around. Explicit knowledge can be presented formally and capable of effective (fast and good quality) communication of data to the user where as commonsense knowledge can be represented in informal way and further modeling needed for BI. Acquiring useful Business Intelligence (BI) for decision-making is a challenging task in dynamic business environment. In this paper we present an approach for modeling commonsense knowledge in Business Intelligence. A fuzzy expert system based on principal component analysis (PCA) and statistical fuzzy inference system for modeling Business Intelligence in commonsense knowledge is introduced in, which enables holistic approach for disaster management. This paper describes one such approach using classification of human constituents in Ayurvedic medicine. Evaluation of the system has shown 77% accuracy.
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    Development of fuzzy expert systems for Tacit knowledge modeling in strategic decision -making
    (2012) Mendis, D.S.K.; Karunananda, A.S.; Samarathunga, U.
    Knowledge modelling gives the intention of knowledge engineering which is applicable for managing information systems. Tacit knowledge is the key issue of knowledge modelling aspect because all knowledge is rooted in tacit knowledge. In recognizing knowledge as a new resource in gaining organizational competitiveness, knowledge management suggests a method in managing and applying knowledge for improving organizational performance. Much knowledge management research has focused on identifying, storing, and disseminating process related knowledge in an organized manner. Applying knowledge to decision making has a significant impact on organizational performance than solely processing transactions for knowledge management. This paper presents a research that incorporates modelling of tacit knowledge for strategic decision-making. Here we have used fuzzy expert system for developing an approach for modelling tacit knowledge. We primarily used fuzzy logic together with statistical technique of principal component analysis as techniques for modelling tacit domains. 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. It has shown 77% accuracy in using the tacit knowledge for reasoning in the relevant domain.
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    Development of commonsense knowledge modeling system for Psychological Assessment in Clinical Psycho
    (2014) Mendis, D.S.K.; Karunananda, A.S.; Samaratunga, U.; Rathnayake, U.
    According to the Buddhist philosophy, hatred (dosa) is considered as one of the three unwholesome roots which determine the actual immoral quality of volitional states and a conscious thought with its mental factors. Hatred, then, comprises all degrees of repulsion from the faintest trace of ill-humour up to the highest pitch of hate and wrath. Thus, ill-will, evil intention, wickedness, corruption and malice are various expressions and degrees of dosa. A hateful temperament is said to be due to a predominance of the type of dosa, apo, vayu and semha. Vedic psychology forms the clinical core of mental health counseling in the Ayurvedic medical tradition. According to Ayurvedic medical practises, a person is dominated on one of constitutes type (type of dosa) namely vata (vayu), pita (apo) or kapha (semha). This is known as prakurthi pariksha. Important aspect of identification of constitute type is for diagnosis of mental diseases, because each of constituent type has a list of probable mental diseases. An important area of expertise for many clinical psychologists is psychological assessment. Constructions of information systems using psychological assessment in clinical psychology have a problem of effective communication because of implicit knowledge. This complicates the effective communication of clinical data to the psychologist. In this paper, it presents an approach to modeling commonsense knowledge in clinical psychology in Ayurvedic medicine. It gives three-phase an approach for modeling commonsense knowledge in psychological assessment which enables holistic approach for clinical psychology. Evaluation of the system has shown 77% accuracy.