Weight aggregation is the key process to solve a multiple-attribute group decision-making (MAGDM) problem. This paper is trying to propose a possible approach to objectivize subjective information and to aggregate information from attribute values themselves and decision-makers’ judgment. An MAGDM problem without information about decision-makers’ and attributes’ weight is considered. In order ...

The convergent validity of ®ve multiattribute weighting methods is studied in an Internet experiment. This is the ®rst experiment where the subjects created the alternatives and attributes themselves. Each subject used ®ve methods to assess attribute weights ± one version of the analytic hierarchy process (AHP), direct point allocation, simple multiattribute rating technique (SMART), swing weig...

For the performance evaluation of coal enterprises energy conservation and reduction of pollutant emission, a new attitude index group decision-making method is proposed based on trapezoidal fuzzy numbers. Under the condition in which the information of attributes weights and decision maker weights is entirely, the attitude index is introduced firstly. By solving the fuzzy object programming fo...

The aim of this paper is to present a hybrid group decision model for evaluating flexible manufacturing systems(FMSs), in which the information about attribute weights is completely unknown, and the attribute values take the form of triangular fuzzy numbers. In this proposed methodology, the voting method is adopted to calculate the attribute weights by aggregating the decision-makers’ attitude...

Abstract: This paper studies the multiple attribute group decision making problems, in which the decision makers (DMs) have multiplicative preference information on alternatives. We first make the decision information uniform by using a transformation formula and introduce some linear deviation elements, and then establish a constrained optimization model. Based the model, an approach is develo...

Additive and multiplicative aggregations of ratio scale preferences are frequently used in multi-criteria decision making models. In this paper, we compare the advantages and limitations of these two aggregation rules by exploring only their fundamental properties after ratio scaled local priorities and criteria weights have been successfully generated from the decision maker. The comparisons o...

Supplier selection can be considered as a complicated multi criteria decision-making problem.In this paper the problem of supplier selection is studied in the presence of conflicting evaluations and insufficient information about the criteria and different attitudes of decision makers towards the risk. Most of fuzzy approaches used in multi-criteria group decision making (MCGDM) are non-intuiti...

Decision making in an uncertain environment is a complex task for decision makers. Fuzzy multi criteria decision making methods are proposed in the literature where the subjective criteria and the weights of all criteria are assessed in linguistic variables since conventional methods cannot take into consideration the subjectivity and uncertainty in the decision process. Fuzzy ELECTRE I (Elimin...

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decisionmaking units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. This research proposes a methodology to determine one common set of weights for the performance indices of only DEA efficient DMUs. Then, these DMUs ar...

To characterize the influence of decision makers’ psychological factors on the group decision process, this paper develops a new class of aggregation operators based on reference-dependent utility functions (RUs) in multi-attribute group decision analysis. We consider two types of RUs: S-shaped, representing decision makers who are risk-seeking for relative losses, and non-S-shaped, representin...