Document Type

Closed Project

Publication Date

Winter 2015


Kenny Phan

Course Title

Decision Making

Course Number

ETM 530


Smart house is one of the best solutions today in the market because it helps users to manage their activities by using special programs to automate electronic home devices [1]. The smart house began in the twenty century by inventing home appliances. The vacuum cleaner was the first to invent and after that followed to sewing machine, food processors, refrigerator, and washing machine. In 1939, popular mechanics magazine helped users to know the modern technology and think about the future from describing modern cocking device. After that in 1966, the first home computer ECHO IV was invented [2]. When people know the importance of these modern appliances, the demand is increased on these appliances, and that led to more research and more development in smart house. Nearly 2000, smart house began to develop quickly because different kinds of technology started to emerge together that help technology to spread and user began to demand of smart product. In 2013, Microsoft showed in the market a lab of thing to help researchers to discover different kinds of smart house appliance [3]. Today, smart house uses many applications such as remote mobile control, control lighting, manage video surveillance, etc. As the demand of smart appliances increased and with a variety of smart products in the market that do many tasks and make everything in the house easy to use, and that confuse the users and make it difficult for them to choose the right products that they really need inside their smart houses. Hierarchical decision model (HDM) is one of the technique that help users to take the right decision easily in choosing what features that they need. So we made more researches on each feature to have more information and understand each feature and how it effects on smart house work. We used pairwise comparison to evaluate each feature from experts who answered our survey. The decision of the features of a smart house is a complicated process because many experts have many ideas and different opinions. In this paper, we reached the preference features through applying pairwise comparison to decision making. We used a simple tool which is helping to recognize the features of smart house. HDM is used to simplify a large number of options.


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