FROS: a fuzzy logic-based recogniser of olfactory signals

✍ Scribed by B. Lazzerini; A. Maggiore; F. Marcelloni

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 265 KB
• Volume: 34
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(00)00145-x

✦ Synopsis

In this paper we describe FROS, a fuzzy logic-based recogniser of olfactory signals. FROS integrates two recognisers, namely the shape-based recogniser and the dynamic range-based recogniser. While the former uses a linguistic description of the shape of the signals, the latter exploits a fuzzy classi"cation of their dynamic ranges. FROS was designed to classify signals produced by a sensor array that comprises conducting polymer sensors with partially overlapping sensitivities. The sensors are exposed to odorants and the resistance values are used for classi"cation. Results of the application of FROS to two di!erent test cases are also presented.