Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman

Tremendous increase in house price can be observed in recent years. Choosing an affordable and suitable home to buy would be a headache for most of the home buyers. They are stuck between financial limitation, and temptation given buy estate agent. To assist the home buyers in making a wise decision...

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Main Author:	Azman, Muhammad Izzat Azri
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Analysis Analytical methods used in the solution of physical problems Instruments and machines Computer software Configuration management Algorithms Database management System design
Online Access:	https://ir.uitm.edu.my/id/eprint/69420/1/69420.pdf
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id	my-uitm-ir.69420
record_format	uketd_dc
spelling	my-uitm-ir.694202022-10-31T03:34:07Z Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman 2017-01 Azman, Muhammad Izzat Azri Analysis Analytical methods used in the solution of physical problems Instruments and machines Electronic Computers. Computer Science Computer software Configuration management Development. UML (Computer science) Algorithms Database management System design Tremendous increase in house price can be observed in recent years. Choosing an affordable and suitable home to buy would be a headache for most of the home buyers. They are stuck between financial limitation, and temptation given buy estate agent. To assist the home buyers in making a wise decision, this project proposed an assistant to home buyers finding a desired house with affordable price and suitable features and specification. The assistant will provide suitable house recommendation to a home buyer based on particular information house specification such as house price, locations neighbourhood and surrounding information. This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. The ABC algorithm is implemented to improve the recommendation accuracy. Firstly, the assistant will calculate their financial availability as affordable price. Then, home buyers need to provide their home preferences and its priority for example home features, amenities and accessibility of a house. Then the searching process will begin. There are two main processes involved in ABC Algorithm which are exploration and exploitation. In the exploration process, the algorithm will search for a population of house that matches with home buyers’ financial availability. After that, in exploitation process, the algorithms will exploit the generated population to search for a desired home according to the preferences and its priority. The suggestion is made based on matching between the buyer’s preferences and house properties.. The suggestion or result is made based on matching between the buyer’s preferences and house properties. The result has been evaluated by 10 home buyers to know the efficiency of the suggestions. In the future, the efficiency of the result will be improved based on technology growth with adding some application such as GPS and map of the house in mobile version. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69420/ https://ir.uitm.edu.my/id/eprint/69420/1/69420.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Isa, Norulhidayah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Isa, Norulhidayah
topic	Analysis Analytical methods used in the solution of physical problems Instruments and machines Analysis Computer software Configuration management Analysis Algorithms Database management System design
spellingShingle	Analysis Analytical methods used in the solution of physical problems Instruments and machines Analysis Computer software Configuration management Analysis Algorithms Database management System design Azman, Muhammad Izzat Azri Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
description	Tremendous increase in house price can be observed in recent years. Choosing an affordable and suitable home to buy would be a headache for most of the home buyers. They are stuck between financial limitation, and temptation given buy estate agent. To assist the home buyers in making a wise decision, this project proposed an assistant to home buyers finding a desired house with affordable price and suitable features and specification. The assistant will provide suitable house recommendation to a home buyer based on particular information house specification such as house price, locations neighbourhood and surrounding information. This project used Artificial Bee Colony Algorithms (ABC) by adapting the food foraging behaviour of bee in honey bee and find a suitable house for home buyer based on their requirement. The ABC algorithm is implemented to improve the recommendation accuracy. Firstly, the assistant will calculate their financial availability as affordable price. Then, home buyers need to provide their home preferences and its priority for example home features, amenities and accessibility of a house. Then the searching process will begin. There are two main processes involved in ABC Algorithm which are exploration and exploitation. In the exploration process, the algorithm will search for a population of house that matches with home buyers’ financial availability. After that, in exploitation process, the algorithms will exploit the generated population to search for a desired home according to the preferences and its priority. The suggestion is made based on matching between the buyer’s preferences and house properties.. The suggestion or result is made based on matching between the buyer’s preferences and house properties. The result has been evaluated by 10 home buyers to know the efficiency of the suggestions. In the future, the efficiency of the result will be improved based on technology growth with adding some application such as GPS and map of the house in mobile version.
format	Thesis
qualification_level	Bachelor degree
author	Azman, Muhammad Izzat Azri
author_facet	Azman, Muhammad Izzat Azri
author_sort	Azman, Muhammad Izzat Azri
title	Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
title_short	Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
title_full	Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
title_fullStr	Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
title_full_unstemmed	Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
title_sort	home buyer assistant using artificial bee colony algorithm / muhammad izzat azri azman
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69420/1/69420.pdf
_version_	1783735877671845888

Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman

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