In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from average solution (EDAS) method is an efficient mu...

In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation Distribution Algorithms (EDA) incorporate methods for automated learning of correlations between variables of the encoded solutions. The process of sampling new individuals from a probabilistic model respects these mutual dependencies such that disruption of importan...

One of the most common tools for achieving optimization and adequate production process management is linear programming (LP) in various forms. However, there are specific cases application when implies several potential solutions instead one. Exactly such a problem solved this paper, which integrates Multi-Criteria Decision-Making (MCDM) model. First, was applied to optimize lying on line segm...

Concepts of decision design are introduced via Multiple Criteria Decision Making (MCDM), Knowledge Management (KM) and optimisation. Decision-making conflict is defined as the absence of a prominent tradeoffsfree alternative. Because tradeoffs are properties of alternatives (the measured) and not of criteria (the measures), designing an optimal decision involves designing a tradeoffs-free alter...

 Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified meth...

We investigate a general optimization problem with linear objective in which the coefficients are uncertain and uncertainty is represented by belief function. consider five common criteria to compare solutions this setting: generalized Hurwicz, strong dominance, weak maximality E-admissibility. provide characterizations for non-dominated respect these when focal sets of function Cartesian produ...