Fuzzy project scheduling system for software development
Fuzzy Sets and Systems - Special issue on operations research
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Application of fuzzy distributions on project management
Fuzzy Sets and Systems
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy priority heuristics for project scheduling
Fuzzy Sets and Systems
An approximation of the activity duration distribution in PERT
Computers and Operations Research
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal
An efficient hybrid algorithm for resource-constrained project scheduling
Information Sciences: an International Journal
A new approach for solving fuzzy critical path problem using analysis of events
Expert Systems with Applications: An International Journal
A robust critical path in an environment with hybrid uncertainty
Applied Soft Computing
A path enumeration approach for the analysis of critical activities in fuzzy networks
Information Sciences: an International Journal
On the Latest Times and Float Times of Activities in a Fuzzy Project Network with LR Fuzzy Numbers
International Journal of Fuzzy System Applications
A fuzzy time-dependent project scheduling problem
Information Sciences: an International Journal
Approaching activity duration in PERT by means of fuzzy sets theory and statistics
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Program evaluation and review technique (PERT) is widely used as a tool for managing large-scale projects. In the traditional PERT model, the durations of activities (tasks) are either represented as crisp numbers or drawn from the beta distribution to estimate the task durations such as pessimistic, most likely and optimistic times. However, the operation time for each activity is usually difficult to define and estimate precisely in a real situation. The aim of this paper is to present an analytical method for measuring the criticality in a project network with fuzzy activity times. Triangular fuzzy numbers are used to express the operation times for all activities in a project network. A new model that combines fuzzy set theory with the PERT technique is proposed to determine the critical degrees of activities (tasks) and paths. In the proposed model, a possibility index is defined to identify the likelihood of meeting a specified required time for a project network. At the end of the paper, an example is presented to compare with those obtained using the proposed method as well as other methods. The comparisons reveal that the method proposed in this paper is more effective in determining the activity criticalities and finding the critical path.