An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights
By Zhou-Jing Wang, Kevin W. Li, Weize Wang. Information Sciences, 2009
328 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/cb32a65ddf76f901a4f93b8767a298e126f15536
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Francisco Chiclana
- Enrique Herrera-Viedma
- Francisco Herrera
- Sergio Alonso
- Seyed Hossein Razavi Hajiagha
- Shide Sadat Hashemi
- Jurgita Antucheviciene
- Edmundas Kazimieras Zavadskas
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Francisco Chiclana
- Francisco Herrera
- Sergio Alonso
- Zeshui Xu
- F. Cabrerizo
- Luis Martínez-López
- Edmundas Kazimieras Zavadskas
In Statistics and Probability
- Enrique Herrera-Viedma
- Sergio Alonso
- Edmundas Kazimieras Zavadskas
- Harish Garg
- Francisco Chiclana
- Francisco Herrera
- Jurgita Antucheviciene
- Seyed Hossein Razavi Hajiagha
Citations in the corpus
- The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering (2015, methodology): “[51] method as the percentages of the matched alternatives.”
- A web based consensus support system for group decision making problems and incomplete preferences (2010, background): “In such situations experts may prefer not to guess some values and thus, not to give part of the required information, that is, they would provide incomplete information [3,16,30,37,38,56,57,59,54].”
- A New Generalized Pythagorean Fuzzy Information Aggregation Using Einstein Operations and Its Application to Decision Making (2016, methodology): “Wang et al. 9 developed a method for comparing two IVIFNs by introducing two new functions: the membership uncertainty index and the hesitation uncertainty index.”