Fuzzy Decision Making in Politics: A Linguistic Fuzzy-Set Approach (LFSA)
By Badredine Arfi. Political Analysis, 2005
74 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7140d6b8c9f8eb62a8530954808b1a314852631b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Enrique Herrera-Viedma
- Francisco Herrera
- Luis Martínez-López
- Yucheng Dong
- Francisco Chiclana
- Zeshui Xu
- Yinfeng Xu
- Francisco Mata
In Management Science and Operations Research
- Enrique Herrera-Viedma
- Francisco Herrera
- Luis Martínez-López
- Yucheng Dong
- Zeshui Xu
- Francisco Chiclana
- Yinfeng Xu
- Francisco Mata
Citations in the corpus
- An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context (2009, methodology): “The semantics of S can be given by fuzzy numbers defined on the unit interval [0, 1 ].”
- Computing the Numerical Scale of the Linguistic Term Set for the 2-Tuple Fuzzy Linguistic Representation Model (2009, methodology): “It has received increasing attention since its appearance, and been used successfully in a wide range of applications, such as information retrieval [5], [27], [28], [34], and [35], decision-making [ 2 ], [6], [7], [11], [14], [15], [17], [30], [33], and [43], consensus process [3], [4], and [29], a”
- A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (2008, background): “The fuzzy linguistic approach [54]–[56] deals with qualitative aspects that are represented in qualitative terms by means of linguistic variables, providing an important tool for solving problems in different areas such as information retrieval [7], [8], [26]–[28], [35], [36], [57], services evaluat”