We analyze combinatorial optimization problems with ordinal, i.e., non-additive, objective functions that assign categories (like good, medium and bad) rather than cost coefficients to the elements of feasible solutions. review different optimality concepts for ordinal discuss their similarities differences. then focus on two prevalent are shown be equivalent. Our main lies investigation a bije...

Many societal decisions involve complexity and conflicting objectives. Preferences in such environments can be expected to change as situations evolve. In this paper, we propose a procedure that incorporates MCDM into system dynamics modeling to handle dynamic multiple criteria situations, which we name dynamic MCDM. A case of urban infrastructure is presented to illustrate the procedure. Dynam...

Solving MCDM Problems: Process Concepts is a refreshing, stimulating and much needed discussion on identifying the characteristics of and designing good decision processes. However, in the attempt to present a simple solution to this important problem, characterized by an objective–subjective attributes–criteria dichotomy, the authors fall prey to many simplistic assumptions about decision make...

Minimum Spanning Tree (MST) problem is of high importance in network optimization. The multi-criteria MST (mc-MST) is a more realistic representation of the practical problem in the real-world, but it is diicult for the traditional network optimization technique to deal with. In this paper, a genetic algorithm (GA) approach is developed to deal with this problem. Without neglecting its network ...

The selection of the most suitable machining process for a given machining application is not straightforward and requires consideration of a number of techno-technological and economic criteria. Therefore is often viewed as a multi-criteria decision making (MCDM). This paper is focused on multi-criteria economic analysis of various machining processes by applying recently developed MCDM method...