Using ANFIS and FML for Deploying Transparent Services in Smart Environments

This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. As will be shown in experimental results, where a usability study has been performed, the proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable services for improving users' comfort.