Possibilistic mean value and variance of fuzzy numbers

Some examples of application

Christer Carlsson, R. Fullér

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

5 Citations (Scopus)

Abstract

In 2001 we introduced the notions of possibilistic mean value and variance of fuzzy numbers. In this paper we explain these notions from a pure probabilistic view and show some examples of their application from the literature.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages587-592
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island, Korea, Republic of
Duration: Aug 20 2009Aug 24 2009

Other

Other2009 IEEE International Conference on Fuzzy Systems
CountryKorea, Republic of
CityJeju Island
Period8/20/098/24/09

Fingerprint

Fuzzy numbers
Mean Value

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

Cite this

Carlsson, C., & Fullér, R. (2009). Possibilistic mean value and variance of fuzzy numbers: Some examples of application. In IEEE International Conference on Fuzzy Systems (pp. 587-592). [5277230] https://doi.org/10.1109/FUZZY.2009.5277230

Possibilistic mean value and variance of fuzzy numbers : Some examples of application. / Carlsson, Christer; Fullér, R.

IEEE International Conference on Fuzzy Systems. 2009. p. 587-592 5277230.

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

Carlsson, C & Fullér, R 2009, Possibilistic mean value and variance of fuzzy numbers: Some examples of application. in IEEE International Conference on Fuzzy Systems., 5277230, pp. 587-592, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, Republic of, 8/20/09. https://doi.org/10.1109/FUZZY.2009.5277230
Carlsson, Christer ; Fullér, R. / Possibilistic mean value and variance of fuzzy numbers : Some examples of application. IEEE International Conference on Fuzzy Systems. 2009. pp. 587-592
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