Multi-criteria performance analysis for decision making in project management

INTUITIONISTIC FUZZY DIMENSIONAL ANALYSIS FOR MULTI-CRITERIA DECISION MAKING

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

A Multi-Criteria Decision-Making Approach with Interval Numbers for Evaluating Project Risk Responses

The risk response development is one of the main phases in the project risk management that has major impacts on a large-scale project’s success. Since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. Conventional approaches tend to be less effective in dealing with the imprecise of the risk response deve...

Multi-criteria decision analysis for use in transport decision making

Risk management in urban tunnels using methods of game theory and multi-criteria decision-making

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...

The place of AHP method among Multi Criteria Decision Making methods in forest management

As the name implies, Multi Criteria Decision Making Methods (MCDMs) is a decision making tool that capable the selection of the most preferred choice in a context where several criteria apply simultaneously.  Primary purpose of this study is to examine the status of Multi Criteria Decision Making Methods (MCDMs) in forest management. The study also aims to evaluate the strengths and weaknesses ...