A rough set approach for determining weights of decision makers in group decision making

A rough set approach for determining weights of decision makers in group decision making

This study aims to present a novel approach for determining the weights of decision makers (DMs) based on rough group decision in multiple attribute group decision-making (MAGDM) problems. First, we construct a rough group decision matrix from all DMs' decision matrixes on the basis of rough set theory. After that, we derive a positive ideal solution (PIS) founded on the average matrix of rough...

Interval-Valued Hesitant Fuzzy Method based on Group Decision Analysis for Estimating Weights of Decision Makers

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

Evaluation of Rough Set Theory for Decision Making of rehabilitation Method for Concrete Pavement

In recent years a great number of advanced theoretical - empirical methods has been developed for design & modeling concrete pavements distress. But there is no reliable theoretical method to be use in evaluation of conerete pavements distresses and making a decision about repairing them. Only empirical methods is used for this reason. One of the most usual methods in evaluating concrete paveme...

Rough Set Based Classifiers For Decision Making

Recently, there has been a growing interest in the data mining area, where the objective is the discovery of knowledge that is correct, comprehensible, easily interpreted, and can be understood and used by users. This paper addresses the issue by facilitating the automatic construction of a decision support system by utilizing data mining techniques. In this research a system that extracts rule...

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