Boongoen, T; Shen, Q; Price, C. 2011. FUZZY QUALITATIVE LINK ANALYSIS FOR ACADEMIC PERFORMANCE EVALUATION. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 19 (3): 559-585

[Eugene Garfield]

Boongoen, T; Shen, Q; Price, C. 2011. FUZZY QUALITATIVE LINK ANALYSIS 
FOR ACADEMIC PERFORMANCE EVALUATION. INTERNATIONAL JOURNAL OF 
UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 19 (3): 559-585.

Author Full Name(s): Boongoen, Tossapon; Shen, Qiang; Price, Chris
Language: English
Document Type: Article

Author Keywords: Academic performance evaluation; link analysis; order-of-
magnitude reasoning; fuzzy sets
KeyWords Plus: STUDENTS EVALUATION; CLASSIFICATION RULES; MEMBERSHIP 
FUNCTIONS; NUMBERS; SYSTEMS; LOGIC; SETS

Abstract: Many approaches have been developed for academic performance 
evaluation using various fuzzy techniques. Initial methods rely greatly on 
experts specification of analytical parameters, without making use of valuable 
information embedded in collected data. Given this insight, fuzzy rule induction 
has recently been studied as a data-driven alternative. Despite its efficiency 
and reported performance, the fuzzy subsethood metric representing the 
strength of relations between system variables is only used at a coarse level, 
with the underlying semantics being Unfortunately distorted via a local cc 
scaling scheme. To overcome this problem, a novel fuzzy classification system 
is introduced in this paper, in which the existing measure is used to its full 
potential via the methodology of qualitative link analysis. With a network 
representation where variables and their relations are encoded as graph nodes 
and edges, the classification of a new instance conceptually becomes a 
problem of link-based similarity estimation that can be effectively resolved 
using the proposed fuzzy qualitative model. This new approach has been 
evaluated against the existing rule-based met hod, revealing significant 
advantages of the present work.

Addresses: [Boongoen, Tossapon; Shen, Qiang; Price, Chris] Aberystwyth Univ, 
Dept Comp Sci, Aberystwyth SY23 SDB, Dyfed, Wales
Reprint Address: Boongoen, T, Aberystwyth Univ, Dept Comp Sci, Aberystwyth 
SY23 SDB, Dyfed, Wales.

E-mail Address: tsb at aber.ac.uk; qqs at aber.ac.uk; cjp at aber.ac.uk
ISSN: 0218-4885
DOI: 10.1142/S0218488511007131
URL: http://www.worldscinet.com/ijufks/19/1903/S0218488511007131.html