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Some algebraic properties and a distance measure for interval-valued fuzzy numbers
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The influence of web browsing experience on web-viewing behavior
Proceedings of the 2006 symposium on Eye tracking research & applications
Ranking of website structures using fuzzy TOPSIS method with type-2 fuzzy numbers
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
Mamdani's fuzzy inference eMathTeacher: a tutorial for active learning
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Latent knowledge structures of traversal behavior in hypertext environment
WSEAS Transactions on Computers
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Computers in Industry
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Giving more effectiveness to e-commerce sites increases customer satisfaction as visitors can navigate the website easier and find their targets in less time and cost. With the development of web content, the structure of a website becomes more complex and critical to both web designers and users in a way that has made the prioritizing of various options of website structure a pivotal decision making problem incorporating large uncertainty in judgment. Finding a response to such a need, TOPSIS, a conventional MADM technique, had been a mere remedy for years, solving the problems with a more or less adequate accuracy. In an aspiring step toward an improvement in this method, Fuzzy TOPSIS method, a combination of ordinary TOPSIS method and Fuzzy theory, could heal some of shortcomings of uncertainties and ordinary TOPSIS in decision making. However there are still lots of occasions in which decision making is faced with lots of shadowiness making the Fuzzy TOPSIS method not sufficiently receptive. As a sensible response to this drawback, in this paper, we utilize a brand-new extension to TOPSIS and Fuzzy TOPSIS methods, based on type-2 fuzzy notions with ability to cope with type-2 fuzzy environment and data incorporating much more fuzziness in decision making. We apply this method to a vague case of the real world and discuss its results against the other previously-developed TOPSIS methods.