Material selection is a main purpose in design process and plays an important role in desired performance of the products for diverse engineering applications. In order to solve material selection problem, multi criteria decision making (MCDM) methods can be used as an applicable tool. Bumper beam is one of the most important components of bumper system in absorbing energy. Therefore, selecting...

This paper offered a procedure for ranking the entrepreneurial and innovative indicators using Multi Criteria Decision Making (MCDM), taking into account three individual,organizational and cultural dimensions simultaneously in decision making procedure. Henceforward, by using the Meta synthesis framework, the form of group classification of indicators from afinding’s combination was suggested ...

Abstract How to solve a multi-criterion decision-making (MCDM) problem with linguistic interval-valued intuitionistic fuzzy numbers (LIVIFNs) effectively is an important research topic. So far, number of methods for solving this have been presented within the academia. Each these can work well in specific situation. But they could produce undesirable results when information insufficient or acq...

the aim of the current review wasto study the existing knowledge about decision-making and to identify and describe validated training tools.a comprehensive literature review was conducted by using the following keywords: decision-making, emergencies, disasters, crisis management, training, exercises, simulation, validated, real-time, command and control, communication, collaboration, and multi...

In general, underground spaces are associated with high risks because of their high uncertainty in geotechnical environments. Since most accidents and incidents in these structures are often associated with uncertainty, the development of risk analysis and management methods and prevention of accidents are essential. A deeper recognition of the factors affecting the implementation process can p...

This paper uses integrated Data Envelopment Analysis (DEA) models to rank all extreme and non-extreme efficient Decision Making Units (DMUs) and then applies integrated DEA ranking method as a criterion to modify Genetic Algorithm (GA) for finding Pareto optimal solutions of a Multi Objective Programming (MOP) problem. The researchers have used ranking method as a shortcut way to modify GA to d...

A comparison is made between the most commonly used decision-making method (AHP), and two methods developed by the authors (APM and CSM). It is shown that the newly developed methods do not change the correlations and types of inequalities between the global priorities of the alternatives when the number of alternatives changes. This differentiates them from the AHP, which does change them. Als...

Constraint optimization problems in multiagent systems have been studied as fundamental problems of decision making and resource allocation. When each agent has its own specific interest in a problem, that task is defined as a multiobjective optimization problem with asymmetric functions. Since multi-objective problems have a number of Pareto optimal solutions in general cases, a preferred solu...

Structural  design  optimization  usually  deals  with  multiple  conflicting  objectives  to  obtain the minimum construction cost, minimum weight, and maximum safety of the final design. Therefore, finding the optimum design is hard and time-consuming for  such problems.  In this paper, we borrow the basic concept of multi-criterion decision-making and combine it with  Particle  Swarm  Optimi...

evaluating and selecting alternatives investment projects needs considering all relevant and important aspects. in traditional methods, the focus is just on tangible monetary criteria. also in the traditional methods, either all the information’s about factors must be known precisely or sufficient objective data must be available for applying probability theory. in this paper, a combinative app...