Fuzzy resource-constrained project scheduling for GIS software development
Leonid Bershtein, Margarita Knyazeva, Igor Rozenberg
Available Online June 2015.
- https://doi.org/10.2991/ifsa-eusflat-15.2015.219How to use a DOI?
- Project scheduling, fuzzy graph, fuzzy plan, heuristic priority rules, fuzzy resource allocation, project management software, GIS.
- Resource-constrained project scheduling (RCPS) problem can be defined as a combinatorial problem of constructing a special plan for performing a number of precedence related tasks that have to be executed with the use of limited uncertain resources. In this paper we study the framework of a heuristic approach to deal with uncertainty while modelling RCPS problem by considering a fuzzy set theory. In addition PCRS prob-lems are generally known to be NP-hard because of their combinatorial nature , and the goal is to con-struct a heuristic-based approach to obtain a near opti-mal solution in a reasonable computational time.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Leonid Bershtein AU - Margarita Knyazeva AU - Igor Rozenberg PY - 2015/06 DA - 2015/06 TI - Fuzzy resource-constrained project scheduling for GIS software development BT - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology PB - Atlantis Press SP - 1542 EP - 1548 SN - 1951-6851 UR - https://doi.org/10.2991/ifsa-eusflat-15.2015.219 DO - https://doi.org/10.2991/ifsa-eusflat-15.2015.219 ID - Bershtein2015/06 ER -