The phrase "a bargaining solution" is correct and usable in written English.
It can be used in contexts related to negotiations, conflict resolution, or decision-making processes where parties reach an agreement.
Example: "After several hours of discussion, the team finally arrived at a bargaining solution that satisfied both sides."
Alternatives: "negotiated agreement" or "settlement proposal".
In this regard, Nash (1950) suggested a bargaining solution known as Pareto optimization for bargaining game.
If U* is a bargaining solution for a bargaining set ( mathbb{S} ) then for any subset ( {mathbb{S}}^{boldsymbol{hbox ) of ( mathbb{S} ) containing U*, U* continues to be a bargaining solution.
The aim of the bargaining problem is to find a bargaining solution which is Pareto optimal and satisfies the axioms of symmetry, invariance and independence of irrelevant alternatives [27].
Gauthier likens the contract situation to a bargain, in which each party is trying to negotiate the moral rules that will allow them to realize optimal utility, and then he argues in favor of a bargaining solution that he calls "minimax relative concession".
Similar problems also exist for equilibrium selection in games (see Vanderschraaf 2005 and Harsanyi and Selten 1988) Although appealing to a bargaining solution can give determinacy to a social contract, it does so at the cost of appealing to a controversial commensuration mechanism.
The more favourable perception gives the individual a better outcome in a bargaining solution.
The problem was formulated as a Nash Bargaining Solution problem and a closed form analytical solution was found for the proposed scheduler.
We also find a Nash bargaining solution (NBS) which provides a Pareto point and ensures fairness among users.
We then obtain a Nash bargaining solution, which in addition to being Pareto optimal is also fair to each user.
In this study, we develop a new bargaining solution by combining the axioms of independence of irrelevant alternatives and individual monotonicity.
Hence, the algorithm for NBS is the following Algorithm 3. From [26], if the set of utilities (mathcal {V}) is convex, then a Nash bargaining solution is also proportionally fair.
