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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.
Abstract: House hunting, or the act of seeking for a place to live, is one of the most significant responsibilities for many families around the world. There are numerous criteria/factors that must be evaluated and investigated. These traits can be both statistically and qualitatively quantified and expressed. There is also a hierarchical link between the elements. Furthermore, objectively/quantitatively assessing qualitative characteristics is difficult, resulting in data inconsistency and, as a result, uncertainty. As a result, ambiguity must be dealt with using the necessary processes; otherwise, the decision to live in a particular property would be incorrect. To compare criteria, the Analytic Hierarchy Process (AHP) is employed, evidential reasoning is used to evaluate houses based on each criterion, and TOPSIS is used to rank house sites for selection. It was necessary to analyze qualitative and quantitative elements, as well as economic and social features of these residences, in order to arrive at the final order of houses, which was not an easy process. As a result, the authors developed a decision support model to aid decision makers in the management of activities related to finding a suitable dwelling. This study describes the development of a decision support system (DSS) capable of providing an overall judgment on the location of a house to live in while taking into account both qualitative and quantitative factors.
Tanjim Mahmud, Dilshad Islam, Manoara Begum, Sudhakar Das, Lily Dey and Koushick Barua, “A Decision Concept to Support House Hunting” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131091
@article{Mahmud2022,
title = {A Decision Concept to Support House Hunting},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131091},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131091},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Tanjim Mahmud and Dilshad Islam and Manoara Begum and Sudhakar Das and Lily Dey and Koushick Barua}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.