Nursal, Ahmad Taufik and Omar, Mohd Faizal and Mohd Nawi, Mohd Nasrun (2015) Conceptual design of fuzzy TOPSIS DSS for building information modeling (BIM). Advances in Environmental Biology, 9 (5). pp. 24-34. ISSN 1995 - 0756

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Abstract

Building Information Modeling (BIM) is playing a significant role in the development of Construction industry.Evaluation of BIM software selection is one of the key roles in successfully BIM adoption.Currently, there is limited study on BIM software selection. With a great potential for integration of MADM and the current Web 2.0 technology, the development of Web DSS based on TOPSIS is desired to solve this problem. In order to develop an effective DSS, the development of subsystem which is TOPSIS would be integrated with fuzzy element.The proposed of this integration is to deal with the vagueness of decision makers in order to evaluate and rating the software and attributes of BIM software selection.Inteads of use crips value, the decision maker will asked to weight and rating through linguistics.For example Very Low (VL), Low (L), Medium Low (ML), Medium (M), Medium High (MH), High (H) and Very High (VH) will used for wighting asessement in BIM software selection.In order to demostrade this proposed DSS, a real construction project which UTHM Multipurpose hall will be deploy.

Item Type:	Article
Uncontrolled Keywords:	Building Information Modelling (BIM), Fuzzy Multi Criteria Decision Making (FMCDM), Decision Support System (DSS)
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TH Building construction
Divisions:	School of Quantitative Sciences
Depositing User:	Dr. Sr. Mohd Nasrun Mohd Nawi
Date Deposited:	10 May 2015 08:55
Last Modified:	17 Apr 2016 01:31
URI:	https://repo.uum.edu.my/id/eprint/13880

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