An assessment of some criticisms of goal programming
Computers and Operations Research
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
Priority structure in fuzzy goal programming
Fuzzy Sets and Systems
The setting of weights in linear goal-programming problems
Computers and Operations Research
An outline of a fuzzy sets approach to decision making with interdependent goals
Fuzzy Sets and Systems
Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
A preference structure on aspiration levels in a goal programming problem—a fuzzy approach
Fuzzy Sets and Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Direct approach processes in group decision making using linguistic OWA operators
Fuzzy Sets and Systems
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
A method for multiple attribute decision-making with the fuzzy preference relation on alternatives
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
A preemptive goal programming method for aggregating OWA operator weights in group decision making
Information Sciences: an International Journal
Possibilistic mean-variance models and efficient frontiers for portfolio selection problem
Information Sciences: an International Journal
Information Sciences: an International Journal
Fuzzy preference relations: Aggregation and weight determination
Computers and Industrial Engineering
A new perspective for optimal portfolio selection with random fuzzy returns
Information Sciences: an International Journal
A two-phase approach for multi-objective programming problems with fuzzy coefficients
Information Sciences: an International Journal
Asset portfolio optimization using fuzzy mathematical programming
Information Sciences: an International Journal
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP
Information Sciences: an International Journal
Fuzzy portfolio selection using fuzzy analytic hierarchy process
Information Sciences: an International Journal
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Computers and Industrial Engineering
Investment project valuation based on a fuzzy binomial approach
Information Sciences: an International Journal
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Information Sciences: an International Journal
Optimal project selection when borrowing and lending rates differ
Mathematical and Computer Modelling: An International Journal
Information Sciences: an International Journal
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Project portfolio managers are multi-objective Decision-Makers (DMs) who are expected to select the best mix of projects by maximizing profits and minimizing risks over a multi-period planning horizon. However, project portfolio decisions are complex multi-objective problems with a high number of projects from which a subset has to be chosen subject to various constraints and a multitude of priorities and preferences. We propose a Goal Programming (GP) approach for project portfolio selection that embraces conflicting fuzzy goals with imprecise priorities. A fuzzy goal with an aspiration level and a predefined membership function is defined for each objective. The impreciseness in the priorities of the membership values of the fuzzy goals is modeled with fuzzy relations. This leads to type II fuzzy sets since fuzzy relations are organized between the membership values of the fuzzy goals which are themselves fuzzy sets. The proposed model is based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and fuzzy preference relations. TOPSIS is used to reduce the multi-objective problem into a bi-objective problem. The resulting bi-objective problem is solved with fuzzy GP (FGP). The fuzzy preference relations are used to help DMs express their preferences with respect to the membership values of the fuzzy goals. The proposed approach is used to solve a real-life problem characterized as a fuzzy Multi-Objective Project Selection with Multi-Period Planning Horizon (MOPS-MPPH). The performance of the proposed approach is compared with a competing method in the literature. We show that our approach generates high-quality solutions with minimal computational efforts.