The residential selection based on fuzzy multi-objective decision
Lin Zhang, Ke Wu, Di Xia
Available Online January 2016.
- https://doi.org/10.2991/ifmeita-16.2016.23How to use a DOI?
- Transportation Engineering; fuzzy multi-objective; membership functions; Borda function; fuzzy nearness
- In order to explore the process of residential selection, the fuzzy closeness degree of the interaction between the residential area and the target of location were proposed by the fuzzy quantitative treatment of all targets of location. According to the semantic evaluation of family satisfaction in each target, the fuzzy nearness degree matrix that community meets all the targets was established by the satisfaction. After the fuzzy comprehensive weights were proposed by the fuzzy ranking model, the highest satisfaction residence in the decision makersâ€™ heart was got by Borda functions. Examples show that: the residents from 23 to 30 years old will be as far as possible to select those districts that close to the destination and have lower prices, better entertainment environment. Residents with lower income from 31 to 45 years old will choose districts that have good education environment and lower prices. Low income residents from 46 to 59 years old, usually tend to choose those close to the destination, have lower prices, and close to the park, and have good natural and humanistic greening environment.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin Zhang AU - Ke Wu AU - Di Xia PY - 2016/01 DA - 2016/01 TI - The residential selection based on fuzzy multi-objective decision BT - 2016 International Forum on Management, Education and Information Technology Application PB - Atlantis Press SP - 120 EP - 125 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-16.2016.23 DO - https://doi.org/10.2991/ifmeita-16.2016.23 ID - Zhang2016/01 ER -