A multiple criteria decision support on-line system for construction |
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| Affiliation: | 1. Department of Construction Economics and Property Management, Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, LT-10223, Lithuania;2. Principal Vice-Rector of Vilnius Gediminas Technical University, Sauletekio av. 11, Vilnius, LT-10223, Lithuania;1. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;2. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;3. Faculty of Engineering, University of Regina, S4S 0A2, Regina, Saskatchewan, Canada;1. School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China;2. Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, Tianjin University, Tianjin 300350, China;1. Department of Mathematics, Govt College Jaitwara, Satna 485221, MP, India;2. Department of Mathematics, National Institute of Technology, Warangal, Telangana 506004, India;3. Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam;4. Faculty of Business Administration, Ton Duc Thang University, Ho Chi Minh City, Vietnam;5. Department of Mathematics, Bioinformatics and Computer Applications, MANIT, Bhopal 462051, MP, India;6. Center for Engineering Operations Management, Department of Technology and Innovation, University of Southern Denmark, Denmark DK-5230 Odense M, Denmark;7. Institute of innovation and circular economy, Asia university, Taiwan;8. Department of Quantitative Methods, School of Business, King Faisal University, Saudi Arabia;1. Business School, Sichuan University, Chengdu 610064, China;2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China;1. Division of Fluid and Climate Technology, Department of Civil and Architectural Engineering, KTH Royal Institute of Technology, Brinellvägen 23, 100 44 Stockholm, Sweden;2. Division of Industrial Ecology, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 34, 100 44 Stockholm, Sweden;3. IVL Swedish Environmental Research Institute, Valhallavägen 81, 100 31 Stockholm, Sweden |
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| Abstract: | Technological innovations through changes in the availability of information technology inclusive information systems, neural networks, decision support and expert systems, e-commerce that have been provided by a variety of new services were developed by the construction sector. Most of all construction on-line systems seek to find how to make the most economic decisions. Construction alternatives have to be evaluated not only from the economic position, but also take into consideration qualitative, technical, technological and other characteristics. Based on an analysis of the construction on-line systems the authors of paper developed multiple criteria decision support on-line system for construction. |
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