| 刊年 | 2001 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (xviii, 506 p.) : ill. |
| 注記 | Includes bibliographical references (p. [457]-497) and index
Restricted to subscribers or individual electronic text purchasers
In this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence.According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem. This approach leads naturally to the use of several different methods in the solution of a single problem and to the complexity of integrating the results--a problem to which qualitative methods provide a solution
Also available in print
Mode of access: World Wide Web
Description based on PDF viewed 12/23/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267317(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Parsons, Simon
|
| ISBN | 9780262256773(: electronic bk)
|
| 無効/取消ISBN | 9780262528740(: electronic bk)
|
| 件名 | LCSH:Uncertainty(Informationtheory)
LCSH:Qualitativereasoning
|
| NCID | 6267317 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267317 |