Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Maximum entropy for collaborative filtering
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Supplier Selection Model Based on the Grey System Theory
ICRMEM '08 Proceedings of the 2008 International Conference on Risk Management & Engineering Management
ICIII '08 Proceedings of the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 02
Selection of Suppliers Based on Rough Set Theory and VIKOR Algorithm
IITAW '08 Proceedings of the 2008 International Symposium on Intelligent Information Technology Application Workshops
Research on Fuzzy MCDM Method Based on Wavelet Neural Network Model
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 01
The Study on Agile Supply Chain-based Supplier Selection and Evaluation
ISISE '08 Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 02
Supplier selection: A hybrid model using DEA, decision tree and neural network
Expert Systems with Applications: An International Journal
Developing a fuzzy TOPSIS approach based on subjective weights and objective weights
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
An integrated fuzzy-lp approach for a supplier selection problem in supply chain management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ICIFE '09 Proceedings of the 2009 International Conference on Information and Financial Engineering
Study on CBR Supplier Selection System Based on Data Mining for Oil Enterprises
IEEC '09 Proceedings of the 2009 International Symposium on Information Engineering and Electronic Commerce
Selection of Suppliers Based on BP Neutral Networks and Grey Correlation Analysis
JCAI '09 Proceedings of the 2009 International Joint Conference on Artificial Intelligence
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
Expert Systems with Applications: An International Journal
Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Developing a hybrid multi-criteria model for selection of outsourcing providers
Expert Systems with Applications: An International Journal
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A multi-risks group evaluation method for the informatization project under linguistic environment
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
Recently, resolving the problem of evaluation and ranking the potential suppliers has become as a key strategic factor for business firms. With the development of intelligent and automated information systems in the information era, the need for more efficient decision making methods is growing. The VIKOR method was developed to solve multiple criteria decision making (MCDM) problems with conflicting and non-commensurable criteria assuming that compromising is acceptable to resolve conflicts. On the other side objective weights based on Shannon entropy concept could be used to regulate subjective weights assigned by decision makers or even taking into account the end-users' opinions. In this paper, we treat supplier selection as a group multiple criteria decision making (GMCDM) problem and obtain decision makers' opinions in the form of linguistic terms. Then, these linguistic terms are converted to trapezoidal fuzzy numbers. We extended the VIKOR method with a mechanism to extract and deploy objective weights based on Shannon entropy concept. The final result is obtained through next steps based on factors R, S and Q. A numerical example is proposed to illustrate an application of the proposed method.