Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
An optimization model for concurrent selection of tolerances and suppliers
Computers and Industrial Engineering
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Distance measure between intuitionistic fuzzy sets
Pattern Recognition Letters
A hybrid approach to supplier selection for the maintenance of a competitive supply chain
Expert Systems with Applications: An International Journal
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
An novel approach to supplier selection based on vague sets group decision
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using the Hamming distance to extend TOPSIS in a fuzzy environment
Journal of Computational and Applied Mathematics
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
Fuzzy Sets and Systems
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain, and is typically a multi-criteria group decision problem. In many practical situations, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the candidates with exact and crisp values. Therefore, in this paper an extended VIKOR method for group decision making with intuitionistic fuzzy numbers is proposed to solve the supplier selection problem under incomplete and uncertain information environment. In other researches in this area, the weights of each decision makers and in many of them the weights of criteria are pre-determined, but these weights have been calculated in this paper by using the decision matrix of each decision maker. Also, normalized Hamming distance is proposed to calculate the distance between intuitionistic fuzzy numbers. Finally, a numerical example for supplier selection is given to clarify the main results developed in this paper.