@proceedings{533,
title = {Using a Combined Intuitionistic Fuzzy Set-TOPSIS Method for Evaluating Project and Portfolio Management Information Systems},
author = {Vassilis Gerogiannis and Panos Fitsilis and Achilles Kameas},
url = {http://download.springer.com/static/pdf/621/chp%253A10.1007%252F978-3-642-23960-1_9.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-642-23960-1_9&token2=exp=1439457119~acl=%2Fstatic%2Fpdf%2F621%2Fchp%25253A10.1007%25252F978-3-642-23960-1_9.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Fchapter%252F10.1007%252F978-3-642-23960-1_9*~hmac=cf483b813ed2d979e911dbd82aac9205d2bb505ed3d43770535b198f1bf94a19},
year = {2011},
date = {2011-01-01},
publisher = {7th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI2011), Springer},
address = {Corfu, Greece, September 15-18},
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-functional 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 a proper PPMIS a difficult, multi-criteria decision problem. The problem complexity is further augmented since the multi stakeholders involved cannot
often rate precisely their preferences and the performance of candidate PPMIS on them. To meet these challenges, this paper presents a PPMIS selection/evaluation approach that combines TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) with intuitionistic fuzzy group decision making. The approach considers the vagueness of evaluatorstextquoteright assessments when comparing PPMIS and the uncertainty of users to judge their needs.
<div style="text-align: justify;">Contemporary Project and Portfolio Management Information <span style="line-height: 1.538em;">Systems (PPMIS) have embarked from single-user, single-project management </span><span style="line-height: 1.538em;">systems to web-based, collaborative, multi-project, multi-functional information </span><span style="line-height: 1.538em;">systems which offer organization-wide management support. The variety of </span><span style="line-height: 1.538em;">offered functionalities along with the variation among each organization needs </span><span style="line-height: 1.538em;">and the plethora of PPMIS available in the market, make the selection of a </span><span style="line-height: 1.538em;">proper PPMIS a difficult, multi-criteria decision problem. The problem </span><span style="line-height: 1.538em;">complexity is further augmented since the multi stakeholders involved cannot</span></div><div style="text-align: justify;">often rate precisely their preferences and the performance of candidate PPMIS <span style="line-height: 1.538em;">on them. To meet these challenges, this paper presents a PPMIS </span><span style="line-height: 1.538em;">selection/evaluation approach that combines TOPSIS (Technique for Order </span><span style="line-height: 1.538em;">Preference by Similarity to Ideal Solution) with intuitionistic fuzzy group </span><span style="line-height: 1.538em;">decision making. The approach considers the vagueness of evaluatorstextquoteright </span><span style="line-height: 1.538em;">assessments when comparing PPMIS and the uncertainty of users to judge their </span><span style="line-height: 1.538em;">needs.</span></div>
