Possibilistic linear programming with triangular fuzzy numbers
Fuzzy Sets and Systems
A new approach to some possibilistic linear programming problems
Fuzzy Sets and Systems
Fuzzy multiple objective programming and compromise programming with Pareto optimum
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Solving multiobjective linear programming problems—a generic approach
Fuzzy Sets and Systems
Portfolio selection based on fuzzy probabilities and possibility distributions
Fuzzy Sets and Systems
Ranking fuzzy numbers based on decomposition principle and signed distance
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
An application of fuzzy goal programming to a multiobjective project network problem
Fuzzy Sets and Systems
Computing efficient solutions to fuzzy multiple objective linear programming problems
Fuzzy Sets and Systems
Engineering Applications of Artificial Intelligence
The Hybrid Fuzzy Least-Squares Regression Approach to Modeling Manufacturing Processes
IEEE Transactions on Fuzzy Systems
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The aim of this paper is to develop an interactive two-phase method that can help the Project Manager (PM) with solving the fuzzy multi-objective decision problems. Therefore, in this paper, we first revisit the related papers and focus on how to develop an interactive two-phase method. Next, we establish to consider the imprecise nature of the data by fulfilling the possibilistic programming model, and we also assume that each objective work has a fuzzy goal. Finally, for reaching our objective, the detailed numerical example is presented to illustrate the feasibility of applying the proposed approach to PM decision problems at the end of this paper. Results show that our model can be applied as an effective tool. Furthermore, we believe that this approach can be applied to solve other multi-objective decision making problems.