Modelling uncertain data
Author(s)
Bibliographic Information
Modelling uncertain data
（Mathematical research = Mathematische Forschung, 68）
Akademie Verlag, c1992
1st ed
Available at / 11 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references
Description and Table of Contents
Description
Real data as used in application are always subject to uncertainty as variability, impreciseness and vagueness. By neglecting of this uncertainty the conclusion drawn from these data can give a euphoric impression of preciseness and can even become useless for application. Hence several approaches were developed allowing for a modelling of uncertainty: sensitivity analysis, interval mathematics, stochastics, fuzzy data analysis and statistics with fuzze data. This collection contains survey contributions on all these fields and, additionally, on optimization with fuzzy data. Each survey is followed by about three special papers, complementing it by presenting special aspects or application situations. All the contributions were invited lectures for a discussion workshop, where the approaches, their conditions, advantages and special application fields are presented and compared. Hence the colleciton contains all these concepts for dealing with real-world data in mathematical problems.
Table of Contents
- Sensitivity analysis
- interval mathematics
- Bayesian statistics
- fuzzy data analysis
- statistics with fuzzy data
- optimization with fuzzy data.
by "Nielsen BookData"
