agents Ambient Assisted Living ambient intelligence Assessment communities of practice distance education Distance Learning E-learning Education intelligent agents learning activities Learning Design learning objects Lifelong learning ontologies Ontology Open and Distance Learning participatory design personalized learning policy programming languages Project and portfolio management information systems Protege Sensor Networks Social Networking System Social Semantic Web Ubiquitous computing εξ αποστάσεως εκπαίδευση οντολογίες προγραμματισμός
2013 |
Gerogiannis, Vassilis; Fitsilis, Panos; Kameas, Achilles Evaluation of project and portfolio Management Information Systems with the use of a hybrid IFS-TOPSIS method (Journal Article) Intelligent Decision Technologies 7 (2013) (Journal), 2013. (Abstract | BibTeX | Tags: 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) @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> |
2011 |
Gerogiannis, Vassilis; Fitsilis, Panos; Kameas, Achilles 7th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI2011), Springer, Corfu, Greece, September 15-18, 2011. (Abstract | Links | BibTeX | Tags: group decision making, intuitionistic fuzzy sets, Multi- Criteria Decision Making, Project and portfolio management information systems, TOPSIS) @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. },keywords = {group decision making, intuitionistic fuzzy sets, Multi- Criteria Decision Making, Project and portfolio management information systems, TOPSIS}, pubstate = {published}, tppubtype = {proceedings} } <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> |