๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Data analysis approaches of soft sets under incomplete information

โœ Scribed by Yan Zou; Zhi Xiao

Book ID
108197557
Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
167 KB
Volume
21
Category
Article
ISSN
0950-7051

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A data envelopment analysis approach to
A data envelopment analysis approach to multicriteria decision problems with incomplete information
โœ E. Takeda; J. Satoh ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 601 KB

As a decision aid for discrete multicriteria decision problems, this paper proposes a multilevel graph of alternatives to represent the ranking, to the extent that this is possible when incomplete information on weights is available under the assumption of the additive value function. To construct i

Periodic scheduling of a transporting ro
Periodic scheduling of a transporting robot under incomplete input data: A fuzzy approach
โœ Eugene Levner; Leonid Meyzin; Alexander Ptuskin ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 800 KB

We consider a problem of scheduling a transporting robot in a production line in which information about operation durations may be incomplete or uncertain. The vague input data are modelled by fuzzy numbers. A numerical algorithm based on operations over the fuzzy numbers is developed, and an examp

Fast principal component analysis of lar
Fast principal component analysis of large data sets based on information extraction
โœ F. Vogt; M. Tacke ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 349 KB ๐Ÿ‘ 2 views

## Abstract Principal component analysis (PCA) and principal component regression (PCR) are routinely used for calibration of measurement devices and for data evaluation. However, their use is hindered in some applications, e.g. hyperspectral imaging, by excessive data sets that imply unacceptable