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results if these are designed with some tailor made adjustments to address the
speci
c needs of a particular sub set of this domain.
A research instrument in the form of a survey questionnaire containing nine
parameters or attributes has been developed (see Table
2
). Selection of six modi
ed
parameters is done on the basis of literature review, inputs from higher education
experts and interviews with various stakeholders in higher education. Prior to
finalizing the questionnaire, it was pilot tested on carefully selected small group of
respondents. Finalized questionnaire has been administered to faculty, students and
administrative staff from Indian higher education institutions. A sample size of 50
respondents is being used for this study. The sample size has been kept small
because Rough Set Analysis yields much accurate results on a smaller dataset.
Respondents were asked to rate each condition attribute on a scale of 1
4 where 1
-
refers to
.
In Table
3
the criterion for Grade (Decision) is:
“
poor
”
and 4 to
“
excellent
”
Grade 1 is awarded for excellent performance of the educational Institution
implying that there are majority of strengths and little or no weaknesses.
Grade 2 is awarded for good performance of the educational Institution which
implies that strengths outweigh weaknesses.
Grade 3 is awarded for average performance of the educational Institution
implying that there is a balance of strengths and weaknesses.
Grade 4 is awarded for below average performance of the educational Institu-
tion. This means that weaknesses outweigh strengths.
Grade 5 is awarded for poor performance of the educational Institution indi-
cating that there are majority of weaknesses and little or no strength.
4.2 Rough Set Analysis
Rough Set Theory (RST) is useful and valid mathematical tool which deals with
imprecise, vague and uncertain information. RST treats knowledge as an ability to
classify objects relative to classes using indiscernible relation. Rough set analysis
basically starts from a table called information table because with every object in
this universe some information is associated. Information table contains objects
which are represented by values of attributes. Objects containing the same infor-
mation are indiscernible.
An information system is a pair S = (U, A), X
⊆
U and P
⊆
A where U is a
nonempty
finite set called the universe and A is a nonempty
finite set of attributes, i.
∈
e., a: U
A, where V
a
is called domain of a. A decision table is a
special case of information system
→
V
a
for a
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