A knowledge based expert systems based upon webgrid / Mohd Nazir Sarah
Notice bibliographique
Résumé
Since the construction industry still lacks a strong Information Technology (IT) approach, especially in the bidding and tendering domain, the objectives of the thesis were to study the pattern of the experts in the bidding and tendering area in selected departments of Malaysia Airlines. The focus would be those who were making decisions not only from an IT perspective, but also from sociological and psychological perspectives. Besides that, the study was also carried out to confirm whether their decision making exercise could be automated to assist and structure the process. The outcome of the study is to propose an Expert System Prototype to the experts, that contains a knowledge based system which has rules (logic program) based on their cognitive perception on how to select bidders. Fifteen experts from four different departments were involved in this study, using the Repertory Grid methodology, from where their knowledge was elicited, analyzed, represented and modeled as a rule based system, embedded in the prototype, called AdjuComm. The prototype was developed on the WebGrid-III Expert System tool(software) which originated from the University of Calgary, Canada and is freely available on the internet. Using the tool, people's views or opinions could be weighted or measured and their construct pattern could be analyzed. The finding of the study shows that the developed prototype (AdjuComm) could pattern the experts' cognitive perceptions, especially when dealing with human cognition of bids, and be able to minimize bias. The study also shows that the WebGrid-III could be used as an important tool for developing knowledge based expert systems due to its efficiency, scalability, accessibility and flexibility.As a part of the range of Knowledge Based Expert Systems, The AdjuComm could accept vague (blank) data within certain limits, and it is suggested that certain improvements can be added to the prototype in the future, based on the requirement to make it more advantageous and beneficial in the bidding domain.To ensure the efficiency and flexibility of the prototype, different categories of experts were invited to verify and give comments on the prototype. Their feedback and views were important in order to justify and enhance the prototype scalability which could be described as 'initially successful'. ETR
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».