Abstract
In this paper we discuss the ranking of alternatives represented by elements of Atanassov’s intuitionistic fuzzy sets, to be called A-IFSs, for short. That is, alternatives are elements of the universe of discourse with a degree of membership and a degree of non-membership assigned. First, we show disadvantages of some approaches known from the literature, including a straightforward method based on the calculation of distances from the ideal positive alternative which can be viewed as a counterpart of the approach in the traditional fuzzy setting. Instead, we propose an approach which takes into account not only the amount of information related to an alternative (expressed by a distance from an ideal positive alternative) but also the reliability of information represented by an alternative meant as how sure the information is.
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Keywords
- Vote Situation
- Intelligent Data Analysis
- Intuitionistic Preference Relation
- Multicriteria Fuzzy Decision
- Traditional Fuzzy Setting
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Szmidt, E., Kacprzyk, J. (2009). Amount of Information and Its Reliability in the Ranking of Atanassov’s Intuitionistic Fuzzy Alternatives. In: Rakus-Andersson, E., Yager, R.R., Ichalkaranje, N., Jain, L.C. (eds) Recent Advances in Decision Making. Studies in Computational Intelligence, vol 222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02187-9_2
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