This paper presents a stereotype-based user model for adaptive hypermedia systems. We use a suita... more This paper presents a stereotype-based user model for adaptive hypermedia systems. We use a suitable algebraic fuzzy structure which can adequately reflect some features of the user in the model, and apply this model to adapt the navigation and the content of hypermedia nodes to the user's needs. The model includes temporal representations of the user and approximates every real user by a set of stereotypes, from which the one realizing the best approximation can always be extracted. The set of stereotypes is the support set of the structure and the operations defined therein may be supplied with adequate semantics which allow for the selection of the stereotype.
In this paper a new method that formalizes fuzzy-based Decision Making problems by means of type-... more In this paper a new method that formalizes fuzzy-based Decision Making problems by means of type-2 fuzzy sets is illustrated. The approach is based on a BL-algebra defined on these sets. This method is then compared to well-known fuzzy-based methods, namely Bellman-Zadeh's, Yager's and Baldwin's. The results achieved by our algorithm are similar and the linguistic presentation offers the advantage of making them more readable.
Classifying coins found during excavation is a challenging task for the archaeologist. This paper... more Classifying coins found during excavation is a challenging task for the archaeologist. This paper describes a multimedia system designed to assist the archaeologist by enabling him either to classify coins based on a pre-existing catalogue or to draw up his own catalogue for specific purposes. The system can also be used to train novices in the field: following an initial screening, the archaeologist only has to examine coins specifically requiring his expertise. A case study uses coins minted in Salerno 800–1200 AD, but the system has been designed to classify any set of coins by simply changing the underlying knowledge base. Very little training is required to operate the user-friendly system, which runs on multimedia PCs, as it is written using the C++ language and makes full use of the advanced features of Windows 3.11.
This paper presents a stereotype-based user model for adaptive hypermedia systems. We use a suita... more This paper presents a stereotype-based user model for adaptive hypermedia systems. We use a suitable algebraic fuzzy structure which can adequately reflect some features of the user in the model, and apply this model to adapt the navigation and the content of hypermedia nodes to the user's needs. The model includes temporal representations of the user and approximates every real user by a set of stereotypes, from which the one realizing the best approximation can always be extracted. The set of stereotypes is the support set of the structure and the operations defined therein may be supplied with adequate semantics which allow for the selection of the stereotype.
In this paper a new method that formalizes fuzzy-based Decision Making problems by means of type-... more In this paper a new method that formalizes fuzzy-based Decision Making problems by means of type-2 fuzzy sets is illustrated. The approach is based on a BL-algebra defined on these sets. This method is then compared to well-known fuzzy-based methods, namely Bellman-Zadeh's, Yager's and Baldwin's. The results achieved by our algorithm are similar and the linguistic presentation offers the advantage of making them more readable.
Classifying coins found during excavation is a challenging task for the archaeologist. This paper... more Classifying coins found during excavation is a challenging task for the archaeologist. This paper describes a multimedia system designed to assist the archaeologist by enabling him either to classify coins based on a pre-existing catalogue or to draw up his own catalogue for specific purposes. The system can also be used to train novices in the field: following an initial screening, the archaeologist only has to examine coins specifically requiring his expertise. A case study uses coins minted in Salerno 800–1200 AD, but the system has been designed to classify any set of coins by simply changing the underlying knowledge base. Very little training is required to operate the user-friendly system, which runs on multimedia PCs, as it is written using the C++ language and makes full use of the advanced features of Windows 3.11.
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