Web Information Retrieval based on Fuzzy set derives user information need from vague and imprecise user queries and therefore uses fuzzy queries to retrieve documents relevant to user’s information need. Optimization techniques have been applied successfully in various domains and results proved effective therefore a novel approach is recommended using hybrid of Ant Colony Optimization(ACO)Gen...

This paper deals with database fuzzy queries in the context where the fuzzy preference conditions involved are of a bipolar nature (the first pole corresponding to a constraint, the second to a wish). More precisely, we consider queries where an inclusion-based condition comes into play (a typical example being a division query). Due to the fact that bipolar fuzzy queries entail using a framewo...

Many corporation and business rely on relational databases for their daily activities and decision making. Employee performance evaluation considered a very time consuming task faced by many large business mangers especially if it involved huge amount of transaction sales. This paper present a methodology based on fuzzy logic techniques to enhance this decision making process. The proposed meth...

This paper proposes to use two information retrieval system models (Boolean information retrieval model and extended Boolean (fuzzy) information retrieval model). These models differ by using Boolean queries or fuzzy weighted queries. It also proposes a way for optimizing user query for the two models by using genetic programming and fuzzy logic. And proposes to use more number of Boolean opera...

In this paper we describe a fuzzy Description Logic reasoner which implements resolution in order to provide reasoning services for expressive fuzzy DLs. The main innovation of this implementation is the ability to reason over assertions with abstract (unspecified) fuzzy degrees. The answer to queries is, consequently, an algebraic expression involving the (unknown) fuzzy degrees and the degree...

Personalized search is an important research area that aims to resolve the ambiguity of query terms. Since queries submitted to search engines tend to be short and ambiguous, they are not likely to be able to express the user’s precise needs. To alleviate this problem, some search engines suggest terms that are semantically related to the submitted queries so that users can choose from the sugg...

Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of fuzzy domain ontology and fuzzy linguis...

In this paper, a fuzzy web information retrieval system is developed. The system uses many of the tools and methods involved in fuzzy logic and fuzzy set theory, along with standard algorithms involving information retrieval on the web. The results of the ranking algorithm use the fuzzy relational BK-products, fuzzy thesauri, and fuzzy closure properties for purposes of retrieving relevant docu...

We present a novel approach to fuzzy dl-programs under the answer set semantics, which is a tight integration of fuzzy disjunctive programs under the answer set semantics with fuzzy description logics. From a different perspective, it is a generalization of tightly integrated disjunctive dl-programs by fuzzy vagueness in both the description logic and the logic program component. We show that t...