Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   analyze the lexicographical solution for fuzzy TU games,  study its properties and obtain a characterization. The lexicographical solution was introduced by Sakawa and Nishizaki (Fuzzy Sets and Systems 61 (1994) 265 -275) as a solution for crisp TU games, and then extended as a value for fuzzy TU games.  approach the problem by means of the close relationship that exists beten the lexicographical solution for crisp TU games and the least square nucleolus, a crisp value defined by Ruiz et al. (Internat. J. Game Theory 25 (1996) 113-134). Previously, and also based on this relationship,  axiomatically characterize the equalizer solution for fuzzy TU games. Both values, the equalizer and the lexicographical solutions, are based on the consideration of a measure of dissatisfaction of players rather than coalitions.
['Elisenda Molina', 'Juan Tejada']
I am writing a research paper on a idea The equalizer and the lexicographical solutions for cooperative fuzzy games: characterization and properties
[{"from": "human", "value": "I am writing a research paper on a idea The equalizer and the lexicographical solutions for cooperative fuzzy games: characterization and properties"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   analyze the lexicographical solution for fuzzy TU games,  study its properties and obtain a characterization. The lexicographical solution was introduced by Sakawa and Nishizaki (Fuzzy Sets and Systems 61 (1994) 265 -275) as a solution for crisp TU games, and then extended as a value for fuzzy TU games.  approach the problem by means of the close relationship that exists beten the lexicographical solution for crisp TU games and the least square nucleolus, a crisp value defined by Ruiz et al. (Internat. J. Game Theory 25 (1996) 113-134). Previously, and also based on this relationship,  axiomatically characterize the equalizer solution for fuzzy TU games. Both values, the equalizer and the lexicographical solutions, are based on the consideration of a measure of dissatisfaction of players rather than coalitions."}]