@article{532,
title = {Evaluation of project and portfolio Management Information Systems with the use of a hybrid IFS-TOPSIS method},
author = {Vassilis Gerogiannis and Panos Fitsilis and Achilles Kameas},
year = {2013},
date = {2013-01-01},
journal = {Intelligent Decision Technologies 7 (2013) (Journal)},
publisher = {IOS Press},
address = {-},
abstract = {
Contemporary Project and Portfolio Management Information Systems (PPMIS) have embarked from single-user, single-project management systems to web-based, collaborative, multi-project, multi-operational information systems which offer organization-wide management support. The variety of offered functionalities, along with the variation among each organization needs and the plethora of PPMIS available in the market, make the selection of an appropriate PPMIS a complicate, multi-criteria decision problem. The problem complexity is further augmented since the multi stakeholders involved in the evaluation/ selection process cannot often rate precisely their preferences and the performances of candidate PPMIS on them. To meet these challenges, this paper presents a PPMIS selection/evaluation approach that applies a hybrid group decision making method based on TOPSIS and Intuitionistic Fuzzy Sets (IFS). The approach considers the vagueness of assessorstextquoteright judgments
when evaluating PPMIS and the uncertainty of users when they judge their needs. The approach is demonstrated through a case study aiming to support the Hellenic Open University to select a suitable PPMIS.
},
keywords = {group decision making, intuitionistic fuzzy sets, multi-criteria decision making, Project and portfolio management information systems, technique for order preference by similarity to ideal solution},
pubstate = {published},
tppubtype = {article}
}
<div style="text-align: justify;">Contemporary Project and Portfolio Management Information Systems (PPMIS) have embarked from single-user, <span style="line-height: 1.538em;">single-project management systems to web-based, collaborative, multi-project, multi-operational information systems which offer </span><span style="line-height: 1.538em;">organization-wide management support. The variety of offered functionalities, along with the variation among each organization </span><span style="line-height: 1.538em;">needs and the plethora of PPMIS available in the market, make the selection of an appropriate PPMIS a complicate, </span><span style="line-height: 1.538em;">multi-criteria decision problem. The problem complexity is further augmented since the multi stakeholders involved in the evaluation/ </span><span style="line-height: 1.538em;">selection process cannot often rate precisely their preferences and the performances of candidate PPMIS on them. To </span><span style="line-height: 1.538em;">meet these challenges, this paper presents a PPMIS selection/evaluation approach that applies a hybrid group decision making </span><span style="line-height: 1.538em;">method based on TOPSIS and Intuitionistic Fuzzy Sets (IFS). The approach considers the vagueness of assessorstextquoteright judgments</span></div><div style="text-align: justify;">when evaluating PPMIS and the uncertainty of users when they judge their needs. The approach is demonstrated through a case <span style="line-height: 1.538em;">study aiming to support the Hellenic Open University to select a suitable PPMIS.</span></div>
