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Building Information Modeling (BIM) has shift the construction industry into a new approach in development of project. The effectiveness of BIM towards increasing productivity and quality of project has been reported not only in literature yet project report. Thus, there are numerous of BIM software available with different features and function. This trend has created decision problem among the companies to select the best software that fulfill company need and project needs. Hence, a web-based Decision Support System (DSS) application namely topsis4BIM has been developed. This paper presented the evaluation the proposed DSS though using the latest technology such as web 2.0 and cloud technology.

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The emerging of new Information Communication Technology (ICT) technology namely Building Information Modeling been proven benefits toward construction industry. As a result, the list of BIM software available in the market is keep increasing in recent years. This has led to the selection problem among construction companies. Moreover, the selection BIM software also required high investment in term of software, hard ware and training expenses. These aforementioned issues have increased the complexities of decision process and the need of decision aid in BIM software selection. Thus, this paper has introduced a new approach in MCDMDSS web development by utilization of Web 2.0 application. The rapid development of Information technology has highly benefit to the development of web based DSS. The design and validation architecture of a web base DSS called topsis4BIM for Building Information Modeling (BIM) is presented.

<p>Due to the competitive Malaysian residential market with a large number of residential projects that offered almost similar features lead to difficulties of residential purchasing among homebuyers. These days, homebuyers are very selective, careful, and required more time in deciding due to the high numbers of abundant, and problem residential projects in Malaysia. As a result, a high number of unsold residential projects were reported. Therefore, understanding homebuyer criteria in a residential purchase is crucially important towards successful Malasia residential projects in the long term. This paper identifies and prioritizing homebuyers criteria in mainland Penang, Malaysia from user-generated data in online property forums. 6000 data was extracted through RapidMiner software. Once data were processes, statistic analysis is used to determined and prioritize the homebuyer's criteria. The classification of criteria is made by the real estate experts.  The result of the study provides fresh insight into homebuyers' criteria. The findings should offer developers, government, potential homebuyers, and real estate agents a better understanding of homebuyers criteria in Penang, Malaysia. </p>