Open AccessA modified fuzzy approach to prioritize project activities
Author(s) -
Sunny Joseph Kalayathankal,
Joseph Varghese Kureethara,
John Abraham
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.6.10143
Subject(s) - computer science , fuzzy logic , ranking (information retrieval) , java , task (project management) , project management , software , software project management , data mining , software engineering , software development , machine learning , artificial intelligence , systems engineering , engineering , software construction , programming language
Project management is an important task in business although project is not just confined to business. Due to the uncertainty of the various variables involved in a project, over several past decades research is going on in the search for an efficient project management model. Although numerous crisp models are easily implementable, the potential of fuzzy models are huge. In the case of software development, the variables involved are highly dynamic. In this paper, we propose a ranking based fuzzy model that can prioritize various activities. We use a popular crisp model to test the effectiveness of the fuzzy model proposed. Simulation is done through Java Server Pages (JSP). There is considerable computational and managerial advantage in implementing the fuzzy model.