國立高雄大學圖資館 |

Language: English

Back

Possibility theory for the design of...

Bosse, Eloi.

Possibility theory for the design of information fusion systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Possibility theory for the design of information fusion systemsby Basel Solaiman, Eloi Bosse.
Author:	Solaiman, Basel.
other author:	Bosse, Eloi.
Published:	Cham :Springer International Publishing :2019.
Description:	x, 288 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fuzzy sets.
Online resource:	https://doi.org/10.1007/978-3-030-32853-5
ISBN:	9783030328535$q(electronic bk.)

Possibility theory for the design of information fusion systems
Solaiman, Basel.

Possibility theory for the design of information fusion systems[electronic resource] /by Basel Solaiman, Eloi Bosse. - Cham :Springer International Publishing :2019. - x, 288 p. :ill., digital ;24 cm. - Information fusion and data science,2510-1528. - Information fusion and data science..

Chapter1: Introduction to possibility theory -- Chapter2: Fundamental possibilistic concepts -- Chapter3: Joint Possibility Distributions and Conditioning -- Chapter4: Possibilistic Similarity Measures -- Chapter5: The interrelated uncertainty modeling theories -- Chapter6: Possibility integral -- Chapter7: Fusion operators and decision-making criteria in the framework of possibility theory -- Chapter8: Possibilistic concepts applied to soft pattern classification -- Chapter9: The use of possibility theory in the design of information fusion systems.

ISBN: 9783030328535$q(electronic bk.)

Standard No.: 10.1007/978-3-030-32853-5doiSubjects--Topical Terms:

182529
Fuzzy sets.

LC Class. No.: QA248 / .S65 2019

Dewey Class. No.: 511.3223

Possibility theory for the design of information fusion systems
LDR:01619nmm a2200337 a 4500 001 570394
003 DE-He213
005 20191226053120.0
006 m d
007 cr nn 008maaau
008 200819s2019 gw s 0 eng d
020 $a 9783030328535$q(electronic bk.)
020 $a 9783030328528$q(paper)
024 7 $a 10.1007/978-3-030-32853-5 $2 doi
035 $a 978-3-030-32853-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA248 $b .S65 2019
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a PBWL $2 thema
082 0 4 $a 511.3223 $2 23
090 $a QA248 $b .S684 2019
100 1 $a Solaiman, Basel. $3 856984
245 1 0 $a Possibility theory for the design of information fusion systems $h [electronic resource] / $c by Basel Solaiman, Eloi Bosse.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a x, 288 p. : $b ill., digital ; $c 24 cm.
490 1 $a Information fusion and data science, $x 2510-1528
505 0 $a Chapter1: Introduction to possibility theory -- Chapter2: Fundamental possibilistic concepts -- Chapter3: Joint Possibility Distributions and Conditioning -- Chapter4: Possibilistic Similarity Measures -- Chapter5: The interrelated uncertainty modeling theories -- Chapter6: Possibility integral -- Chapter7: Fusion operators and decision-making criteria in the framework of possibility theory -- Chapter8: Possibilistic concepts applied to soft pattern classification -- Chapter9: The use of possibility theory in the design of information fusion systems.
650 0 $a Fuzzy sets. $3 182529
650 0 $a Uncertainty (Information theory) $3 206405
650 1 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 348605
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 758833
650 2 4 $a Communications Engineering, Networks. $3 273745
700 1 $a Bosse, Eloi. $3 836079
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Information fusion and data science. $3 818741
856 4 0 $u https://doi.org/10.1007/978-3-030-32853-5
950 $a Mathematics and Statistics (Springer-11649)