Fuzzy LINMAP method for multiattribute decision making under fuzzy environments
Journal of Computer and System Sciences
Using a hybrid multi-criteria decision aid method for information systems outsourcing
Computers and Operations Research
Developing a decision model for business process outsourcing
Computers and Operations Research
A MCDM approach for sourcing strategy mix decision in IT projects
Expert Systems with Applications: An International Journal
Linear programming method for multiattribute group decision making using IF sets
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
A method based on preference degrees for handling hybrid multiple attribute decision making problems
Expert Systems with Applications: An International Journal
An ontology based multi-agent system to support HABIO outsourcing framework
Expert Systems with Applications: An International Journal
Strategic decisions using the fuzzy PROMETHEE for IS outsourcing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A decision model for IS outsourcing
International Journal of Information Management: The Journal for Information Professionals
Information and Management
Expert Systems with Applications: An International Journal
Integrating DANP and modified grey relation theory for the selection of an outsourcing provider
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
One of the critical activities for outsourcing success is outsourcing provider selection, which may be regarded as a type of fuzzy heterogeneous multiattribute decision making (MADM) problems with fuzzy truth degrees and incomplete weight information. The aim of this paper is to develop a new fuzzy linear programming method for solving such MADM problems. In this method, the decision maker's preferences are given through pair-wise alternatives' comparisons with fuzzy truth degrees, which are expressed with trapezoidal fuzzy numbers (TrFNs). Real numbers, intervals, and TrFNs are used to express heterogeneous decision information. Giving the fuzzy positive and negative ideal solutions, we define TrFN-type fuzzy consistency and inconsistency indices based on the concept of the relative closeness degrees. The attribute weights are estimated through constructing a new fuzzy linear programming model, which is solved by using the developed fuzzy linear programming method with TrFNs. The relative closeness degrees of alternatives can be calculated to generate their ranking order. An example of the IT outsourcing provider selection problem is analyzed to demonstrate the implementation process and applicability of the method proposed in this paper.