Placing the dissonance measure in the context of generalized information theory

Mark J. Wierman, William J. Tastle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We place the measures of Consensus and Dissention, tools originally developed to measure consensus in Likert scale data, in the context of the various measures of information profiled in Generalized Information Theory. We also indicate connections between the Consensus and Dissention and the Fisher information measure. Finally, we introduce a targeted measure of agreement.

Original languageEnglish (US)
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Pages253-256
Number of pages4
DOIs
StatePublished - Dec 1 2006
EventNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society - Montreal, QC, Canada
Duration: Jun 3 2006Jun 6 2006

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

OtherNAFIPS 2006 - 2006 Annual Meeting of the North American Fuzzy Information Processing Society
CountryCanada
CityMontreal, QC
Period6/3/066/6/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Wierman, M. J., & Tastle, W. J. (2006). Placing the dissonance measure in the context of generalized information theory. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 253-256). [4216810] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2006.365417