Fuzzy Optimization and Decision Making
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Dependent uncertain ordered weighted aggregation operators
Information Fusion
Expert Systems with Applications: An International Journal
An extended TOPSIS for determining weights of decision makers with interval numbers
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
An effective cooperation mechanism among multi-devices in ubiquitous network
Proceedings of the 8th International Conference on Network and Service Management
Revisiting the supplier selection problem: An integrated approach for group decision support
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In traditional TOPSIS method, the ideal solutions for alternatives are expressed in vectors. An important step in the process of group decision making is to determine the relative importance of each decision maker. In this paper, the weights of decision makers derived from individual decision are determined by using an extended TOPSIS method with interval numbers. The ideal decisions for all individual decisions are expressed in matrices. The positive ideal decision is the intersection of all individual decisions; the negative ideal decision is the union of all individual decisions. Comparisons with other methods are also made. A numerical example is examined to show the potential applications of the proposed method.