Weighted minimum and maximun operations in fuzzy sets theory
Information Sciences: an International Journal
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Using fuzzy sets in flexible querying: why and how?
Flexible query answering systems
A formula for incorporating weights into scoring rules
Theoretical Computer Science - Special issue on the 6th International Conference on Database Theory—ICDT '97
Extended Boolean information retrieval
Communications of the ACM
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Transactions on Knowledge and Data Engineering
Incorporating User Preferences in Multimedia Queries
ICDT '97 Proceedings of the 6th International Conference on Database Theory
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
Weighted faceted browsing for characteristics-based visualization selection through end users
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
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Ranking of relevant objects plays an important role in various applications especially in multimedia database systems and information retrieval systems. In contrast to traditional database systems, multimedia database systems deal with similarity queries returning a list of objects ranked by the objects' overall score. The overall score for objects in the database is calculated using a scoring rule which is commonly based on similarity functions and fuzzy logic. One aspect which enhances the user's flexibility to formulate preferences regarding the search criteria, is to assign weights to each argument in a query. In this paper a formal specification of the requirements for an adequate weighted scoring rule is given. Based on this specification different methods for incorporating weights into scoring rules are evaluated and their limitations are shown. Furthermore, we discuss that weighting on different levels in complex queries is necessary. Therefore, multi-level weighting is introduced and different possibilities to assign weights on different levels are shown. Finally, an extended specification for weighted scoring rules with multi-level weighting is proposed.