Exploiting Structure in Coordinating Multiple Decision Makers

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers

Solving New Product Selection Problem by a New Hierarchical Group Decision-making Approach with Hesitant Fuzzy Setting

Selecting the most suitable alternative under uncertainty is considered as a critical decision-making problem that affects the success of organizations. In the selection process, there are a number of assessment criteria, considered by a group of decision makers, which often could be established in a multi-level hierarchy structure. The aim of this paper is to introduce a new hierarchical multi...

Ranking of Efficient and Non-Efficient Decision Making Units with Undesirable Data Based on Combined Models of DEA and TOPSIS

Data Envelopment Analysis (DEA) is a method for determining the performance of units under evaluation of DMUs. Each decision-making unit using multiple inputs produces multiple outputs whose nature of outputs may be desirable or undesirable. Units whose performance score equals one are efficient. The concept of ranking decision makers because of the useful information they provide to decision m...

Interval number ranking method considering multiple decision attitudes

Many interval number ranking methods cannot representthe different attitudes of decision makers with different riskappetites. Therefore, interval numbers are expressed in the RectangularCoordinate System (RCS). After mining the interval numbers in the RCS,the Symmetry Axis Compensation Factor, which is known as (lambda),was introduced, and the Equivalent Function o...

Coordination Approach to Find Best Defense Decision with Multiple Possibilities among Robocup Soccer Simulation Team

In 2D Soccer Simulation league, agents will decide based on information and data in their model. Effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. In this article we evaluate some simple solutions whe...