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Realistic solution of fuzzy critical path problems, case study: the airport's cargo ground operation systems
(Springer, 2022) Fazlollah, Abbasi; Allahviranloo, Tofigh
In fact, this research is executed in an environment where uncertainty is the principal feature of it. One of these uncertainties in the project planning process is estimating the duration of activities. This paper presents a methodology for implementing an extended method of critical path based on the application of fuzzy expert systems to manage schedule uncertainties. To represent the uncertainty involved we have considered the generalized quasi-geometric fuzzy numbers to represent the activity times. Moreover, TA-based fuzzy operations are used to have real solutions for the parameters. Meanwhile, a new approach to ranking generalized quasi-geometric fuzzy numbers and their distance is proposed in detail. Finally, the proposed concepts are applied in the field of critical path analysis and a relevant case study of it is also included to justify the notion.