Fuzzy project scheduling system for software development
Fuzzy Sets and Systems - Special issue on operations research
Fuzzy priority heuristics for project scheduling
Fuzzy Sets and Systems
Chance constrained programming with fuzzy parameters
Fuzzy Sets and Systems
A note on chance constrained programming with fuzzy coefficients
Fuzzy Sets and Systems
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Activity time-cost tradeoffs under time and cost chance constraints
Computers and Industrial Engineering
A fuzzy project scheduling approach to minimize schedule risk for product development
Fuzzy Sets and Systems - Special issue: Optimization and decision support systems
A Stochastic Branch-and-Bound Approach to Activity Crashing in Project Management
INFORMS Journal on Computing
A survey of credibility theory
Fuzzy Optimization and Decision Making
Dependent-chance programming with fuzzy decisions
IEEE Transactions on Fuzzy Systems
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
Convergent results about the use of fuzzy simulation in fuzzy optimization problems
IEEE Transactions on Fuzzy Systems
A bilevel fuzzy principal-agent model for optimal nonlinear taxation problems
Fuzzy Optimization and Decision Making
A Fuzzy Simulated Annealing approach for project time-cost tradeoff
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The time-cost trade-off problem is a specific type of the project scheduling problem which studies how to modify project activities so as to achieve the trade-off between the completion time and the project cost. In real projects, the trade-off between the project cost and the completion time, and the uncertainty of the environment are both considerable aspects for managers. In this paper, three new fuzzy time-cost trade-off models are proposed, in which credibility theory is applied to describe the uncertainty of activity duration times. A searching method by integrating fuzzy simulation and genetic algorithm is produced to search the quasi-optimal schedules under some decision-making criteria. The purpose of the paper is to reveal how to obtain the optimal balance of the completion time and the project cost in fuzzy environments.