A fuzzy multicriteria approach for data fusion

André D. Mora, António J. Falcão, Luís Miranda, Rita A. Ribeiro, José M. Fonseca

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

This chapter discusses a recent data fusion algorithm (Ribeiro et al. 2014), Fuzzy Information Fusion (FIF), that provides a general method, based on decision matrices, for fusing heterogeneous sources, into a single composite, with the final goal of rating and ranking alternatives. In addition, FIF has the ability to handle imprecise information, either from lack of confidence in the input data or from its imprecision (allowing deviation errors). In general, FIF can be viewed as a decision support method for handling multiple criteria (i.e., input sources) classification problems under uncertain environments.

Original languageEnglish
Title of host publicationMultisensor Data Fusion: From Algorithms and Architectural Design to Applications
PublisherCRC Press
Pages109-125
Number of pages17
ISBN (Electronic)978-148226375-6
ISBN (Print)978-148226374-9
DOIs
Publication statusPublished - 26 Aug 2015

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Mora, A. D., Falcão, A. J., Miranda, L., Ribeiro, R. A., & Fonseca, J. M. (2015). A fuzzy multicriteria approach for data fusion. In Multisensor Data Fusion: From Algorithms and Architectural Design to Applications (pp. 109-125). CRC Press. https://doi.org/10.1201/b18851