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Developing a goal programming model for ideal/mutual house price

Saiddin, Nor Syuhadah and Zabidi, Nerda Zura and Sulaiman, Nor Intan Saniah (2015) Developing a goal programming model for ideal/mutual house price. In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia.

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Abstract

One cannot deny the importance of a house as a living need. Unfortunately, the unreasonable house price makes it approximately impossible to be owned, mostly for middle income group.Nowadays, the middle income house buyers have two alternatives, whether to buy it from a private developer or through PR1MA and My First Home scheme, since both parties have their own advantages.Goal programming has been employed to resolve the multi objective problem among parties. Due to the complex decision making in house price determination between the parties, this study purposely modeled the problem using interval goal programming approach.Goal programming and interval goal programming can be differ based on their goal (i.e. the aspire level) which is in the form of interval.This study employed primary data and secondary data, which primary data is acquired from semi-structured interview with private developer, while secondary data is the data obtained from literature review. Initial result shows the satisfactory house price over preferences and needs of the decision makers, which are RM454, 050.00 for the private developer, RM322, 880.00 for the government and range of RM2380.95 to RM245, 100.00 for the house buyer. This suggests the house price range that is satisfied by all parties which is about RM238, 000.95 to RM460, 000.00.The satisfaction might occurred when they are all cooperating, which the way could enlighten the impact of collaboration between the parties. This could be the limitations for this study.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-0-7354-1338-2
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Quantitative Sciences
Depositing User: Mrs. Nerda Zura Zaibidi
Date Deposited: 07 Jan 2016 05:05
Last Modified: 27 Apr 2016 08:42
URI: https://repo.uum.edu.my/id/eprint/16869

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