DSS to Determine the Location of Housing Using the Fuzzy Method

DOI

10.2991/assehr.k.200303.069How to use a DOI?

Keywords

DSS, housing, fuzzy method

Abstract

The choice of location to optimize business activities such as housing, factories, shop houses is determined through mechanisms and patterns that can be understood. Various criteria that have been taken into consideration include land availability, raw materials, distance, accessibility, transportation, labor costs, security guarantees, absorption of local markets, political stability, and other supporting facilities. Some location theories generally use the approach of minimizing costs, maximizing profits, market approaches, attractiveness. One effort to help facilitate housing developers in optimizing it is to build software (software) based on fuzzy artificial intelligence applications. Based on the decision-making criteria determined by the entrepreneur. So entrepreneurs, especially in the field of Developer / developers no longer bother to find out or get information about the location of housing construction desired by consumers, and can reduce unwanted risks and time savings.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Deny Purnama Ramadan
AU  - Fahmi Rizky Nugraha
AU  - Harco Leslie Hendric Spits Warnars
PY  - 2020
DA  - 2020/03/06
TI  - DSS to Determine the Location of Housing Using the Fuzzy Method
BT  - Proceedings of the 1st International Multidisciplinary Conference on Education, Technology, and Engineering (IMCETE 2019)
PB  - Atlantis Press
SP  - 285
EP  - 288
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200303.069
DO  - 10.2991/assehr.k.200303.069
ID  - Ramadan2020
ER  -