Determining objective weights with intuitionistic fuzzy entropy measures: A comparative analysis
By Ting-Yu Chen, Chia-Hang Li. Information Sciences, 2010
303 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/433d3b4685f660090aa1faf9929704c475947298
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In Computational Theory and Mathematics
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- Intuitionistic Fuzzy Information Measures with Application in Rating of Township Development (2016, unknown): “The information and similarity measures of IFSs have been applied widely in decision making [7, 32, 33] and pattern recognition [21, 31, 45].”
- On distance and correlation measures of hesitant fuzzy information (2011, unknown): “c5(α, β) = 1 l l ∑ i=1 ( γmin + γmax γσ (i) + γmax ) = 1 (34)”
- Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets (2013, methodology): “Similarity and distance measures have been widely applied in many fields such as multicriteria decision-making [5,21], group decision [27,33], grey relational analysis [26], pattern recognition [11,14], image processing [15], and cluster analysis [37].”