Fusion of information from multiple human sources using fuzzy logic

Gregory L. Sinsley, Lyle Norman Long

Research output: Contribution to journalArticlepeer-review


The field of soft sensor data fusion deals with human sources of information, as opposed to more traditional approaches that deal primarily with information from hard (physics-based) sensors. To facilitate the collection of data from soft sensors, a graphical user interface has been designed. Data that the user enters into the graphical user interface are represented numerically using fuzzy logic. Fuzzy logic is also used in order to fuse data from multiple users or from the same user at different points in time. The fusion system has been tested both in simulation and in the field using a hypothetical search and rescue problem.

Original languageEnglish (US)
Pages (from-to)560-571
Number of pages12
JournalJournal of Aerospace Information Systems
Issue number12
StatePublished - Dec 1 2013

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Fusion of information from multiple human sources using fuzzy logic'. Together they form a unique fingerprint.

Cite this