# Special Issue on Algorithms and Models for Dynamic Multiple Criteria Decision Making
## 2 Special Issue  
The current special issue of _Algorithms_ was designed to encourage the submission of original research on MCDM techniques and their potential applications. The call-for-papers invited articles which detailed the foundations of MCDM problems and their applications, with particular emphasis placed on strategic evaluation environments. Each of the articles submitted to the Special Issue was reviewed by at least two independent experts, whose detailed comments allowed authors to improve the quality of their presentations to a substantial extent. The papers published can be divided into three main categories. The first category focuses on technical modifications and implementations of MCDM models. For instance, the paper by [PERSON] et al. [1] detailed the incompleteness in the pairwise comparison matrices which define [PERSON]'s AHP. The authors proposed an extension of the Nelder-Mead simplex search algorithm to complete the matrix optimally by minimizing a maximum eigenvalue function subject to interval constraints and illustrating its applicability through several numerical simulations. Given the problems of data incompleteness faced in many real-life settings, this result constituted an important development that allowed for the implementation of AHP in scenarios that have generally remained out of its scope. [PERSON] et al. [2] analyzed the design of unmanned vehicles equipped with deployable wings for suborbital flight. These vehicles were endowed with enhanced maneuverability and controlled landing features but required increasing levels of design complexity and faced housing difficulties in operative launchers. The authors developed a multi-objective optimization methodology that implemented a genetic algorithm together with a set of parametric models designed to identify the best configuration that minimized interface loads, improving the efficiency of the deployment and configuration systems, while increasing the payload and reducing service costs. The second category of papers developed extensions of existing MCDM techniques, applied to analyze strategic decision environments. The assignment of weights to the decision criteria, or experts providing their judgments constituted one of the most discussed topics in MCDM problems, particularly when dealing with group decision-making scenarios. [PERSON] et al. [3] analyzed an extensive study case based on the design of logistic policies that supported sustainable mobility in the protected natural-cultural tourism area of Dieng in Central Java, Indonesia. These authors introduced a multi-actor multi-criteria analysis method where stakeholders were asked to select their own evaluation criteria and assess the involvement of other stakeholders. They analyzed and validated the consistency of the suggested procedure through AHP. A similar case study in terms of consistency and applicability was developed by [PERSON] et al. [4], who defined a hybrid model based on PROMETHEE and SAPEVO-M (Simple Aggregation of Preferences Expressed by Ordinal Method Vectors--Multi Decision Makers). Operating as a hybrid model, PROMETHEE-SAPEVO-M1 provided an integrated framework allowing for the ranking of environments dealing with quantitative and qualitative criteria, whose inputs were defined through cardinal and ordinal variables, respectively. The capacity of the model to deal with inaccurate information was illustrated via a case study formalizing the selection of attack helicopters for the Brazilian Navy. The third and final category of papers corresponded to the implementation of existing MCDM models within extensive institutional case studies. [PERSON] et al. [5] ranked six business projects according to their potential capacity to be incubated. They applied the Momentum method to define an initial core of evaluation criteria.