Metadata language
On joint modelling of random uncertainty and fuzzy imprecision
Subtitle:Raport Badawczy = Research Report ; RB/33/2007
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:22 pages ; 21 cm ; Bibliography p. 19-22
Subject and Keywords:Fuzzy numbers ; Membership function ; Emission factor ; Classical probability ; Belief function
Abstract:The paper deals with the problem of the mathematical description of uncertainties of different type. It has been demonstrated by many authors that the theory of probability is not always suitable for the description of uncertainty related to vagueness. Some of the most promising theories recently proposed to address this problem have been described. It then focused on the application of fuzzy random variables which seem to be very useful for the joint modelling of random uncertainty and fuzzy imprecision, and for the statistical analysis of imprecise data. The application of the statistical methodology for fuzzy data, called fuzzy statistics, is illustrated with a practical example, typical for the problems of making decisions using small amount of available data.
Relation:Raport Badawczy = Research Report
Resource type: Detailed Resource Type: Source: Language: Language of abstract: Rights:Creative Commons Attribution BY 4.0 license
Terms of use:Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -
Digitizing institution:Systems Research Institute of the Polish Academy of Sciences
Original in:Library of Systems Research Institute PAS
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