Conceptual design and implementation of the fuzzy semantic model

Salem Chakhar; Abdelkader Telmoudi

Conceptual design and implementation of the fuzzy semantic model

Salem Chakhar, Abdelkader Telmoudi

Centre for Operational Research & Logistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

55 Downloads (Pure)

Abstract

FSM is one of few database models that support fuzziness, uncertainty and impreciseness of real-world at the class definition level. FSM authorizes an entity to be partially member of its class according to a given degree of membership that reflects the level to which the entity verifies the extent properties of this
class. This paper deals with the conceptual design of FSM and adresses some implementation issues.

Original language	English
Title of host publication	The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July
Editors	Bernadette Bouchon-Meunier, Roland R. Yager
Place of Publication	Paris
Publisher	Editions EDK
Pages	2438-2445
Volume	3
ISBN (Print)	284254112X
Publication status	Published - 2006
Event	11th International Conference on Information Processing and Management of Uncertainty - Paris, France Duration: 2 Jul 2006 → 7 Jul 2006

Conference

Conference	11th International Conference on Information Processing and Management of Uncertainty
Abbreviated title	IPMU 2006
Country/Territory	France
City	Paris
Period	2/07/06 → 7/07/06

Access to Document

CT-IPMU06Accepted author manuscript (Post-print), 201 KB

Cite this

@inbook{6a9e538af23248378d3d01b24754b9ef,

title = "Conceptual design and implementation of the fuzzy semantic model",

abstract = "FSM is one of few database models that support fuzziness, uncertainty and impreciseness of real-world at the class definition level. FSM authorizes an entity to be partially member of its class according to a given degree of membership that reflects the level to which the entity verifies the extent properties of thisclass. This paper deals with the conceptual design of FSM and adresses some implementation issues.",

author = "Salem Chakhar and Abdelkader Telmoudi",

year = "2006",

language = "English",

isbn = "284254112X",

volume = "3",

pages = "2438--2445",

editor = "Bernadette Bouchon-Meunier and Yager, {Roland R.}",

booktitle = "The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July",

publisher = "Editions EDK",

note = "11th International Conference on Information Processing and Management of Uncertainty, IPMU 2006 ; Conference date: 02-07-2006 Through 07-07-2006",

}

Chakhar, S & Telmoudi, A 2006, Conceptual design and implementation of the fuzzy semantic model. in B Bouchon-Meunier & RR Yager (eds), The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July. vol. 3, Editions EDK, Paris, pp. 2438-2445, 11th International Conference on Information Processing and Management of Uncertainty, Paris, France, 2/07/06.

Conceptual design and implementation of the fuzzy semantic model. / Chakhar, Salem; Telmoudi, Abdelkader.
The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July. ed. / Bernadette Bouchon-Meunier; Roland R. Yager. Vol. 3 Paris: Editions EDK, 2006. p. 2438-2445.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Conceptual design and implementation of the fuzzy semantic model

AU - Chakhar, Salem

AU - Telmoudi, Abdelkader

PY - 2006

Y1 - 2006

N2 - FSM is one of few database models that support fuzziness, uncertainty and impreciseness of real-world at the class definition level. FSM authorizes an entity to be partially member of its class according to a given degree of membership that reflects the level to which the entity verifies the extent properties of thisclass. This paper deals with the conceptual design of FSM and adresses some implementation issues.

AB - FSM is one of few database models that support fuzziness, uncertainty and impreciseness of real-world at the class definition level. FSM authorizes an entity to be partially member of its class according to a given degree of membership that reflects the level to which the entity verifies the extent properties of thisclass. This paper deals with the conceptual design of FSM and adresses some implementation issues.

M3 - Chapter (peer-reviewed)

SN - 284254112X

VL - 3

SP - 2438

EP - 2445

BT - The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July

A2 - Bouchon-Meunier, Bernadette

A2 - Yager, Roland R.

PB - Editions EDK

CY - Paris

T2 - 11th International Conference on Information Processing and Management of Uncertainty

Y2 - 2 July 2006 through 7 July 2006

ER -

Conceptual design and implementation of the fuzzy semantic model

Abstract

Conference

Access to Document

Fingerprint

Cite this