Fuzzy Multi-Criteria Group Decision Support in Teaching Performance

Jie Lu; Zhong Li; Da Ruan; Benny Carlé

Fuzzy Multi-Criteria Group Decision Support in Teaching Performance

Jie Lu
, Zhong Li
, Da Ruan
, Benny Carlé

Research output › peer-review

Abstract

Teaching performance evaluation and many preference decisions are often made in groups, and always require considering multiple criteria under a hierarchy structure. T the same time, the evaluation processes often involve uncertainty and fuzziness in both the description of criteria and the judgments of evaluators. This paper presents a linguistic term based hybrid two-level fuzzy multi-criteria group decision making method as a systematic means of supporting preference based evaluation and decision. It further gives an application of comprehensive teaching performance evaluation with six aspects and over fifth criteria in practice.

Original language	English
Title of host publication	2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications
Place of Publication	Berlin, Germany
Pages	145-150
Volume	1
State	Published - Aug 2007
Event	2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications - University of Passau, Germany; and IEEE, Passau Duration: 1 Aug 2007 → 3 Aug 2007

Conference

Conference	2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications
Country/Territory	Germany
City	Passau
Period	2007-08-01 → 2007-08-03

Cite this

@inproceedings{ceff93faabad482a84b6914f133f9c32,

title = "Fuzzy Multi-Criteria Group Decision Support in Teaching Performance",

abstract = "Teaching performance evaluation and many preference decisions are often made in groups, and always require considering multiple criteria under a hierarchy structure. T the same time, the evaluation processes often involve uncertainty and fuzziness in both the description of criteria and the judgments of evaluators. This paper presents a linguistic term based hybrid two-level fuzzy multi-criteria group decision making method as a systematic means of supporting preference based evaluation and decision. It further gives an application of comprehensive teaching performance evaluation with six aspects and over fifth criteria in practice.",

keywords = "Fuzzy sets, teaching evaluation, decision support systems, multi-criteria decision making",

author = "Jie Lu and Zhong Li and Da Ruan and Benny Carl{\'e}",

note = "Score = 1; 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications ; Conference date: 01-08-2007 Through 03-08-2007",

year = "2007",

month = aug,

language = "English",

isbn = "978-3-8007-3046-9",

volume = "1",

pages = "145--150",

booktitle = "2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications",

}

TY - GEN

T1 - Fuzzy Multi-Criteria Group Decision Support in Teaching Performance

AU - Lu, Jie

AU - Li, Zhong

AU - Ruan, Da

A2 - Carlé, Benny

N1 - Score = 1

PY - 2007/8

Y1 - 2007/8

N2 - Teaching performance evaluation and many preference decisions are often made in groups, and always require considering multiple criteria under a hierarchy structure. T the same time, the evaluation processes often involve uncertainty and fuzziness in both the description of criteria and the judgments of evaluators. This paper presents a linguistic term based hybrid two-level fuzzy multi-criteria group decision making method as a systematic means of supporting preference based evaluation and decision. It further gives an application of comprehensive teaching performance evaluation with six aspects and over fifth criteria in practice.

AB - Teaching performance evaluation and many preference decisions are often made in groups, and always require considering multiple criteria under a hierarchy structure. T the same time, the evaluation processes often involve uncertainty and fuzziness in both the description of criteria and the judgments of evaluators. This paper presents a linguistic term based hybrid two-level fuzzy multi-criteria group decision making method as a systematic means of supporting preference based evaluation and decision. It further gives an application of comprehensive teaching performance evaluation with six aspects and over fifth criteria in practice.

KW - Fuzzy sets

KW - teaching evaluation

KW - decision support systems

KW - multi-criteria decision making

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_82220

UR - http://knowledgecentre.sckcen.be/so2/bibref/4372

M3 - In-proceedings paper

SN - 978-3-8007-3046-9

VL - 1

SP - 145

EP - 150

BT - 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications

CY - Berlin, Germany

T2 - 2007 IEEE Three-Rivers Workshop on Soft Computing in Industrial Applications

Y2 - 1 August 2007 through 3 August 2007

ER -