Fuzzy resource-constrained project scheduling for GIS software development

DOI

10.2991/ifsa-eusflat-15.2015.219How to use a DOI?

Keywords

Project scheduling, fuzzy graph, fuzzy plan, heuristic priority rules, fuzzy resource allocation, project management software, GIS.

Abstract

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 [2], and the goal is to con-struct a heuristic-based approach to obtain a near opti-mal solution in a reasonable computational time.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/ifsa-eusflat-15.2015.219
ID  - Bershtein2015/06
ER  -