Analysis of the correlations between the success / failure factors of a project using fuzzy cognitive maps
| dc.contributor.advisor | Emiris, Dimitrios | |
| dc.contributor.advisor | Εμίρης, Δημήτριος | |
| dc.contributor.author | Goumenakis, Epameinondas | |
| dc.contributor.author | Γουμενάκης, Επαμεινώνδας | |
| dc.date.accessioned | 2024-07-08T13:28:25Z | |
| dc.date.available | 2024-07-08T13:28:25Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://dione.lib.unipi.gr/xmlui/handle/unipi/16586 | |
| dc.identifier.uri | http://dx.doi.org/10.26267/unipi_dione/4008 | |
| dc.format.extent | 57 | el |
| dc.language.iso | en | el |
| dc.publisher | Πανεπιστήμιο Πειραιώς | el |
| dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ | * |
| dc.title | Analysis of the correlations between the success / failure factors of a project using fuzzy cognitive maps | el |
| dc.type | Master Thesis | el |
| dc.contributor.department | Σχολή Ναυτιλίας και Βιομηχανίας. Tμήμα Βιομηχανικής Διοίκησης και Tεχνολογίας | el |
| dc.description.abstractEN | Fuzzy cognitive maps (FCM) are a way of modeling that uses human experience and knowledge. It mixes ideas from fuzzy logic and neural networks. FCMs can handle complex systems by thinking, much like a person would. One noticeable thing about FCMs is that they're flexible. You can design, model, and control a system in lots of different ways with them. They're great at showing how things are connected, including feedback loops and hidden connections. FCMs are a bit uncertain because they're often used to describe and understand situations. Just like in other project analysis fields, FCM can provide lessons and historical data that help improve future project execution and avoid similar issues. Thus, the analysis can be seen as a tool for developing knowledge capital within a business. This knowledge capital is particularly valuable, as it usually involves experts from various cognitive fields, contributing to the overall performance and growth of the enterprise. This thesis project attempts to connect two distinct areas: one area is the traditional field of Project Management area and the other field is area of Artificial Intelligence. In the second field we opt to work with Fuzzy Cognitive Maps which is a technique that has been used for several years. A fishbone diagram is designed to analyze more the main causes of the project failure and then we attempt to examine the suitable of FCMs to model project failures by using the software FCM Expert. | el |
| dc.contributor.master | Βιομηχανική Διοίκηση και Τεχνολογία | el |
| dc.subject.keyword | FCM | el |
| dc.subject.keyword | Fuzzy cognitive maps | el |
| dc.subject.keyword | FCM expert | el |
| dc.subject.keyword | Project failure | el |
| dc.date.defense | 2024-06-26 |
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Τμήμα Βιομηχανικής Διοίκησης και Τεχνολογίας
Department of Industrial Management and Technology
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα