The logical basis for computer programming. Volume 1: deductive reasoning
The logical basis for computer programming. Volume 1: deductive reasoning
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Application of rough sets to information retrieval
Journal of the American Society for Information Science - Special issue: management of imprecision and uncertainty
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Information Processing and Management: an International Journal - Special issue: Cross-language information retrieval
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan
Expert Systems with Applications: An International Journal
A hybrid approach to semantic web services matchmaking
International Journal of Approximate Reasoning
A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Expert Systems with Applications: An International Journal
Multidimensional Relevance: A New Aggregation Criterion
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
On the consistency of a Fuzzy C-Means algorithm for multisets
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Fuzzy multiset space and c-means clustering using Kernels with application to information retrieval
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Empirical study on evaluating value creation strategy performance based on GRA and fuzzy TOPSIS
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
The structural clustering and analysis of metric based on granular space
Pattern Recognition
A clustering system for data sequence partitioning
Expert Systems with Applications: An International Journal
New results on a fuzzy granular space
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
A framework for multiset merging
Fuzzy Sets and Systems
A web user preference perception system based on fuzzy data mining method
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
Modeling decisions for artificial intelligence: theory, tools and applications
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Multidimensional relevance: Prioritized aggregation in a personalized Information Retrieval setting
Information Processing and Management: an International Journal
Data structure and operations for fuzzy multisets
Transactions on Rough Sets II
Similarity between multi-valued thesaurus attributes: theory and application in multimedia systems
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
RL-bags: A conceptual, level-based approach to fuzzy bags
Fuzzy Sets and Systems
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A fuzzy multiset model for information clustering is proposed with application to information retrieval on the World Wide Web. Noting that a search engine retrieves multiple occurrences of the same subjects with possibly different degrees of relevance, we observe that fuzzy multisets provide an appropriate model of information retrieval on the WWW. Information clustering which means both term clustering and document clustering is considered. Three methods of the hard c-means, fuzzy c-means, and an agglomerative method using cluster centers are proposed. Two distances between fuzzy multisets and algorithms for calculating cluster centers are defined. Theoretical properties concerning the clustering algorithms are studied. Illustrative examples are given to show how the algorithms work.