Daniel SinkondeLeonard MselleNima ShidendeSara ComaiMatteo Matteucci2024-03-112024-03-112017Sinkonde, D., Mselle, L., Shidende, N., Comai, S., & Matteucci, M. (2017, November). Accessible urban by modeling the explicit data using fuzzy logic. In Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies (pp. 1-7).DOI: https://doi.org/10.1007/s10209-021-00843-xhttps://repository.udom.ac.tz/handle/20.500.12661/4228Full-text Article. Also available at https://doi.org/10.1007/s10209-021-00843-xThe paper explores the level of accessibility for people with specific mobility problems in an urban setting. The work is part on the polisocial Maps for Easy Path (MEP) project [1]. The project aiming at developing a set of innovative tools and solutions for the enrichment of geographical maps with information about accessibility of urban pedestrian areas for people with mobility challenges. This paper builds a FuzzyMEP predictive model that accounts for uncertainty in the real world using fuzzy logic to predict the quality and the condition of the accessibility of a path. The FuzzyMEP model has been developed for mapping two explicit data sets, namely the coordinates where a picture of an obstacle on the sidewalk has been taken and the comment. The current urban city accessibility tool uses spatial data and focuses mainly on the accessibility of a path. We present a novel MEP tool by using a fuzzy logic model for pedestrian path prediction of the condition of the accessibility of a path. In this paper, the FuzzyMEP model has been developed by applying a fuzzy logic rule which can be adapted to other contexts.enArchitectural barrierIndoor navigationOutdoor navigationUniversal designUrban accessibilityWayfinding systemproceedings-article10.1145/3231830.3231844