퍼지 K-최장공정기법을 이용한 공정관리모형 개발에 관한 연구

A Study on the Development of Progress Control Algorithm Using the Fuzzy K-longest Path Algorithm

This paper employs fuzzy variables instead of deterministic variables for job times in a project network. A fuzzy variable has its value restricted by a possibility distribution. This paper utilizes the triangular possibility distribution which has three estimated times. That is normal, resonable, and crash job times. This paper develops a fuzzy k-longest path algorithm, by utilizing the k-longest path algorithm. This algorithm will be useful to control the project the project network by considering the project completion possibility.