Fuzzy programming approach to multicriteria decision making transportation problem
Fuzzy Sets and Systems
An efficient algorithm for fuzzy weighted average
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Transportation projects selection process using fuzzy sets theory
Fuzzy Sets and Systems - special issue on fuzzy sets in traffic and transport systems
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Fractional programming approach to fuzzy weighted average
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Fuzzy Sets and Systems - Optimisation and decision
A fuzzy decision support system for strategic portfolio management
Decision Support Systems
Applying the fuzzy-weighted-average approach to evaluate network security systems
Computers & Mathematics with Applications
Analytical solution methods for the fuzzy weighted average
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Sustainable R&D portfolio assessment
Decision Support Systems
Hi-index | 12.05 |
The most decisive factor that survives enterprises under stiff competition is the development of new product (NPD), and when entering the product development stage after the fuzzy front end, a best project portfolio should be finalized in order to potentially create expected revenue and competitive advantage. However, even it reaches the end of the fuzzy front stage; the NPD project is still significantly involved with uncertainties, complexities and fuzziness. To assist R&D managers making decision in this environment, this study proposes a new approach which combines fuzzy set theory and multi-criteria group decision making method into a NPD project portfolio selection model. This model takes into account project performance, project delivery and project risk, and formulates the selection decision of NPD project portfolio as a fuzzy linear programming problem. The illustrative example shows that the model proposed can generate projects with the highest success rate under limited resources and manpower.