Modeling decisions - information fusion and aggregation operators
By Vicenç Torra, Y. Narukawa. 2007
686 citations recorded by the source corpus.
Subfields: Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6223b5bb3283aab13f0caec5337f9c3f4d9d186e
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In Management Science and Operations Research
- Zeshui Xu
- Francisco Herrera
- Luis Martínez-López
- Ronald R. Yager
- Meimei Xia
- Weize Wang
- José M. Merigó
- Huchang Liao
Citations in the corpus
- ”Aggregation Functions”, Cambridge University Press (2008, neutral): “), see [1], [2], [3], [4], [5], [6], [7], [8], [9], [10].”
- Hesitant Fuzzy Sets: State of the Art and Future Directions (2014, background): “[40]) can be used for the same purpose.”
- The role of fuzzy sets in decision sciences: Old techniques and new directions (2011, methodology): “It refines the maximin comparison of matrices based on computing maxi minj hi,j .”
- Aggregation Functions: A Guide for Practitioners (2007, methodology): “Multi-step Choquet integrals have been treated in [186, 194, 237].”
- Generalized Orthopair Fuzzy Sets (2017, background): “We recall that Sugμ(F) ∈ [0, 1] and that Sug(F) is an aggregation operator [25], [34].”
- Intuitionistic Fuzzy Bonferroni Means (2011, background): “, the investigation on aggregation operators has been receiving much attention from both researchers and practitioners over the last decades [3]–[6].”
- Intuitionistic Fuzzy Information Aggregation Using Einstein Operations (2012, background): “1 [54], [57]: Let aj > 0, ωj > 0, j = 1, 2, .”
- Induced generalized intuitionistic fuzzy operators (2011, neutral): “, [38,13,22]).”
- An Overview of Distance and Similarity Measures of Intuitionistic Fuzzy Sets (2008, background): “Other kinds of aggregation operators, such as the ordered weighted averaging (OWA) operator [35], the weighted OWA operator [36,37], the uncertain OWA operator [38,39], and Sugeno integral [40], etc.”
- Hesitant fuzzy information aggregation in decision making (2011, neutral): “j1⁄41 c j ( ) : ð15Þ Lemma 1 ([24,25]).”