We present an approach to matchmaking in P2P e-marketplaces, which mixes in a formal and principled way Datalog, fuzzy sets and utility theory, in order to determine most promising matches between perspective counterparts. Use of Datalog ensures the scalability of our approach to large marketplaces, while Fuzzy Logic provides a neat connection with logical specifications and allows to model sof...

Fredo is a generic domain-independent broker that creates valueadded information taking into account the preferences specified by its clients. Fredo uses ontology services and yellow pages services to discover a set of agents that can provide information relevant to its clients’ requests. Fredo uses an intelligent heuristic strategy based on a fuzzy evaluation mechanism to plan the queries it u...

The disparity in consumer and organization preferences of information channels is a major concern. Further, making decisions in the presence of a wide range of conflicting criteria through the use of a multiple criteria decision-making (MCDM) approach has gained increased prominence in recent years and research in this area has become an important consideration for business operations that invo...

In this paper, an optimized fuzzy controller is presented for the control of the environmental parameters at the building zone level. The occupants’ preferences are monitored via a smart card unit. Genetic algorithm optimization techniques are applied to shift properly the membership functions of the fuzzy controller in order to satisfy the occupants’ preferences while minimizing energy consump...

In real life scenarios there is often the need for modelling conditional plans where external events determgine the actual execution sequence. Conditional Temporal Problems (CTPs) have addressed such a need by extending the classical temporal constraint models with conditions on the occurrence of some events. Preferences are also a key aspect in many temporal reasoning tasks, since they allow f...

We present an approach to matchmaking in electronic marketplaces of peer entities, which mixes in a formal and principled way Datalog, fuzzy sets and utility theory, in order to determine the most promising matches between prospective counterparts. The use of Datalog ensures the scalability of our approach to large marketplaces, while Fuzzy Logic provides a neat connection with logical specific...

To achieve consistent solutions is an important goal in group decision making problems. However, the expression of preferences is often a very difficult task for the experts, specially in decision problems with a high number of alternatives and when experts use fuzzy preference relations to provide their opinions. This usually leads to situations where experts are not able to properly express a...

Customer satisfaction depends on many variables, such as quality, price, availability, customer service, and so on, and increases with the degree to which the delivered product meets the customer’s preferences. Frequently, vendors have to help customers select a product from among those available to satisfy their needs and wants. Most of the time, the information provided by the customers is no...

In the setting of possibility theory, a tool named ‘fuzzy pattern matching’ (FPM) has been proposed in the eighties, and then successfully used in flexible querying of fuzzy databases and in classification. Given a pattern representing a request expressed in terms of fuzzy sets, and a database containing imprecise or fuzzy attribute values, the FPM returns two matching degrees. Namely, for each...

We present models, methods, implementations and experiments with a system enabling personalized web search for many users with different preferences. The system consists of a web information extraction part, a text search engine, a middleware supporting top-k answers and a user interface for querying and evaluation of search results. We integrate several tools (implementing our models and metho...