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IIJIT:Volume 5, Issue 11, November 2017


The mean error estimation of TOPSIS technique employing a fuzzy reference models
Author Name:
Haig, Alexander
ABSTRACT The Technique for Order of Preference by Similarity to Ideal resolution (TOPSIS) may be a unremarkably used multi-criteria decision-making technique. variety of authors have projected enhancements, referred to as extensions, of the TOPSIS technique, however these extensions havent been examined with reference to accuracy. Accuracy estimation is extremely tough as a result of reference values for the obtained results arent far-famed, therefore, the results of every extension area unit compared to at least one another. during this paper, the author propose a replacement technique to estimate the mean error of TOPSIS with the utilization of a fuzzy reference model (FRM). This technique provides reference values. In experiments involving one,000 models, twenty eight million cases area unit simulated to estimate the mean error. Results of 4 unremarkably used normalisation procedures were compared. in addition, the author incontestible the link between the worth of the mean error and also the nonlinearity of models and variety of alternatives.
Cite this article:
Haig, Alexander , " The mean error estimation of TOPSIS technique employing a fuzzy reference models" , IPASJ INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY (IIJIT) , Volume 5, Issue 11, November 2017 , pp. 009-011 , ISSN 2321-5976.
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