Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 39, Issue 2, Pages 2119-2126Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2011.07.119
Keywords
TOPSIS method; Fuzzy numbers; Linguistic variables
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Funding
- DGICYT
- Junta de Andalucia [TIN2008-06872-C04-04, TIN2011-27696-Co2-01, P07-TIC02970]
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This paper develops an evaluation approach based on the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). When the input for a decision process is linguistic, it can be understood that the output should also be linguistic. For that reason, in this paper we propose a modification of the TOPSIS algorithm which develops the above idea and which can also be used as a linguistic classifier. In this new development, modifications to the classic algorithm have been considered which enable linguistic outputs and which can be checked through the inclusion of an applied example to demonstrate the goodness of the new model proposed. (C) 2011 Elsevier Ltd. All rights reserved.
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