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On weighted possibilistic mean and variance of fuzzy numbers. (English) Zbl 1022.94032
Summary: D. Dubois and H. Prade [ibid. 24, 279–300 (1987; Zbl 0634.94026)] defined an interval-valued expectation of fuzzy numbers, viewing them as consonant random sets. C. Carlsson and R. Fullér [ibid. 122, 315–326 (2001; Zbl 1016.94047)] defined an interval-valued mean value of fuzzy numbers, viewing them as possibility distributions. In this paper, we introduce the notion of weighted interval-valued possibilistic mean value of fuzzy numbers and investigate its relationship to the interval-valued probabilistic mean. We also introduce the notions of the crisp weighted possibilistic mean value, variance and covariance of fuzzy numbers, which are consistent with the extension principle. Furthermore, we show that the weighted variance of a linear combination of fuzzy numbers can be computed in a similar manner as in probability theory.

94D05 Fuzzy sets and logic (in connection with information, communication, or circuits theory)
03E72 Theory of fuzzy sets, etc.
94A17 Measures of information, entropy
Full Text: DOI
[1] Carlsson, C.; Fullér, R., On possibilistic Mean value and variance of fuzzy numbers, Fuzzy sets and systems, 122, 315-326, (2001) · Zbl 1016.94047
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[4] Dubois, D.; Prade, H., The Mean value of a fuzzy number, Fuzzy sets and systems, 24, 279-300, (1987) · Zbl 0634.94026
[5] Goetschel, R.; Voxman, W., Elementary fuzzy calculus, Fuzzy sets and systems, 18, 31-43, (1986) · Zbl 0626.26014
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