Open AccessEFFICIENCY INCREASE OF E-LEARNING BY APPLYING ON‐LINE INTELLIGENCE COMPUTER LEARNING SYSTEMS
Author(s) -
Romualdas Ginevičius,
Edmundas Kazimieras Zavadskas,
Artûras Kaklauskas
Publication year - 2003
Publication title -
journal of business economics and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.485
H-Index - 37
eISSN - 1611-1699
pISSN - 2029-4433
DOI - 10.3846/16111699.2003.9636055
Subject(s) - computer science , real estate , artificial neural network , strengths and weaknesses , set (abstract data type) , artificial intelligence , expert system , line (geometry) , knowledge management , machine learning , engineering management , operations research , engineering , business , finance , psychology , social psychology , geometry , mathematics , programming language
Based on the analysis of existing computer learning, neural networks, information, expert and decision support systems, the following e‐learning systems were developed by authors: construction, real estate, facilities management, international trade, ethics, innovation, sustainable development, building refurbishment, etc. Application of above multiple criteria computer learning systems developed by authors allows one to determine the strengths and weaknesses of analysed alternatives and its constituent parts. Calculations were made to find out by what degree one version is better than an other and the reasons disclosed why it is namely so. Landmarks are set for an increase in the efficiency of versions, etc.