On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Benchmarking in linguistic importance weighted aggregations
Fuzzy Sets and Systems
Computing with words in intelligent database querying: standalone and internet-based application
Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
SAINTETIQ: a fuzzy set-based approach to database summarization
Fuzzy Sets and Systems - Data bases and approximate reasoning
Mining fuzzy association rules for classification problems
Computers and Industrial Engineering
A linguistic decision model for promotion mix management solved with genetic algorithms
Fuzzy Sets and Systems - Special issue: Soft decision analysis
Aggregation operators for linguistic weighted information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Extracting Fuzzy Linguistic Summaries Based on Including Degree Theory and FCA
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
The Algebraic Properties of Linguistic Value "Truth" and Its Reasoning
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Information Sciences: an International Journal
Generalized upper and lower approximations in set-valued information systems
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
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In real-world database, generally, attribute values of objects are numerical, from real-world practice point of view, numeral is too detail to obtaining good information or decision. Hence, a linguistic data summary of a set of data, which is expressed by a sentence or a small number of sentences in a natural language, would be very desirable and human consistent. In this paper, from the structure and valuation of fuzzy statement point of view, extracting linguistic data summarize is discussed. To extract complex linguistic data summaries, a new aggregation operator for aggregating linguistic terms is proposed, a numerical example of Personnel Database is also provided.