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A New Approach to Faculty Evaluation with Uncertain Information
May 23-May 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISIP.2008.582008 International Symposiums on Info ...
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Quan Zhang, WenJia Feng, Dan Shao, "A New Approach to Faculty Evaluation with Uncertain Information," International Symposiums on Information Processing, pp. 645-649, 2008 International Symposiums on Information Processing, 2008.
 
 
BibTex
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@article{ 10.1109/ISIP.2008.58,
author = {Quan Zhang and WenJia Feng and Dan Shao},
title = {A New Approach to Faculty Evaluation with Uncertain Information},
journal ={International Symposiums on Information Processing},
volume = {0},
year = {2008},
isbn = {978-0-7695-3151-9},
pages = {645-649},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISIP.2008.58},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Symposiums on Information Processing
TI - A New Approach to Faculty Evaluation with Uncertain Information
SN - 978-0-7695-3151-9
SP645
EP649
A1 - Quan Zhang,
A1 - WenJia Feng,
A1 - Dan Shao,
PY - 2008
KW - Faculty Assessment
KW - Multiple attribute decision making
KW - Interval Numbers
KW - superiority possibility
VL - 0
JA - International Symposiums on Information Processing
ER -
 
In ambiguous decision domain, interval numbers are employed to evaluate the overall value of alternatives (e.g., the faculty candidates) due to the inherent problems related to the uncertainty of the multiple attribute decision making (MADM). However, it is uneasy to compare interval numbers of different alternatives with multiple attributes. In current approaches, to rank and select the faculty candidates, some superiority possibility information will lose in the process of transforming interval numbers to crisp values. In order to overcome the shortcomings of Bryson and Mobolurin’ approach, a new approach is proposed, in which the weights of attributes are determined by maximizing the weighted distance among the alternatives, hereafter the maximum intervals for the overall values of every alternative are calculated, and the superiority possibility among them are also calculated for assessing the faculty candidates (alternatives).
Index Terms:
Faculty Assessment, Multiple attribute decision making, Interval Numbers, superiority possibility
Citation:
Quan Zhang, WenJia Feng, Dan Shao, "A New Approach to Faculty Evaluation with Uncertain Information," isip, pp.645-649, 2008 International Symposiums on Information Processing, 2008
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