The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 53-729
Full Name: D.S.Kalana Mendis
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Advanced Technological Institute, Labuduwa
Country: SRI LANKA
Tel:
Tel prefix:
Fax:
E-mail address: kalanaatil@mail.com
Other E-mails:
Title of the Paper: An Approach to the Development of Tacit Knowledge Modelling Systems for the Electricity Marketing Mangement
Authors as they appear in the Paper: D.S. KALANA MENDIS , ASOKA S. KARUNANANDA, UDAYA SAMARATUNGA
Email addresses of all the authors: kalanaatil@mail.com, asoka@itfac.mrt.ac.lk, udayasamaratunga@gmail.com
Number of paper pages: 10
Abstract: Knowledge is the fundamental resource that allows us to function intelligently. Similarly, organizations typically use different types of knowledge to enhance their performance. Tacit knowledge that is not well formalized modelling is the key to electricity market liberalization on the management of ecological innovations in electric utilities, in the process of information gathering into a formalized way. Modelling tacit 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 tacit 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 e!
xpert 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.
Keywords: Restructuring and Electricity Market; Tacit knowledge, Tacit knowledege modeling; Fuzzy logic; Principal componenet analysis; Expert system
EXTENSION of the file: .doc
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 124.43.50.161
