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The rest of this paper is structured as follows: "Literature review" presents literature review and our contributions, "Problem definition" describes our problem, "Solution approach" presents our solution approach, "Numerical example and discussion" gives the numerical results and discussion, and "Conclusion" presents the conclusion.
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Special attention is put to the necessity of the transdisciplinary knowledge co-production based on activities and problem-solutions approaches.
The main contribution is the game-theoretic problem formulation and solution approach based on the new framework of distributed approachability, and the study of the convergence properties of the resulting game model.
The problem statement and solution approach are presented next.
For Rizo 2006, quoted by Castillo (2009), p. 152, " Networks are build up as a form of social organisation that allows a group of people to enhance resources and contribute to problem solution; its logical approach is not to homogenise social groups but organise a society, despite its diversity, through links among groups of interest and common preoccupations" (Hernández, 2012).
Problem-specific solution approaches are advantageous compared to standardized approaches that are designed to provide basic decision support for a broad range of planning problems but inadequate to optimize under consideration of specific settings.
Through two new taxonomies the properties and categories of APP/DAPP problems and solution approaches are identified and described, the characteristics and applications of the reviewed 60 most relevant works are exposed and analyzed comprehensively, and open problems in the field are identified.
This paper investigates this problem and proposes a solution approach.
For the design problem, a dual-based solution approach is proposed and tested for its effectiveness with numerical examples.
We illustrate the utility of the problem formulation and the solution approach with two case studies in which short horizon aircraft trajectories are optimized in order to reduce fuel burn while avoiding hazardous weather.
It is shown, in particular, that the fuzzy algorithm based on the Takagi-Sugeno inference that uses Gaussian membership functions and the defuzzification procedure as the centroid, will coincide with the point-mass algorithm that corresponds to the problem solution within the Bayesian approach with the Gaussian measurement errors and the vector to be estimated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com