论文信息 - Modelling Fuzzy Quantified Statements under a Voting Model Interpretation of Fuzzy Sets

Modelling Fuzzy Quantified Statements under a Voting Model Interpretation of Fuzzy Sets

In this paper previous results by our group in the field of fuzzy quantification modelling and application are compiled. A general mechanism that is based on the voting-model interpretation of fuzzy sets is described. Application examples of quantified statements in the field of reasoning with fuzzy temporal rules, modelling of task-oriented vocabularies and information retrieval are presented.

[1] Jonathan Lawry,et al. A mass assignment theory of the probability of fuzzy events , 1996, Fuzzy Sets Syst..

[2] Senén Barro,et al. A general framework for probabilistic approaches to fuzzy quantification , 2001, EUSFLAT Conf..

[3] L. Zadeh. A COMPUTATIONAL APPROACH TO FUZZY QUANTIFIERS IN NATURAL LANGUAGES , 1983 .

[4] Senén Barro,et al. A framework for fuzzy quantification models analysis , 2003, IEEE Trans. Fuzzy Syst..

[5] A. Knoll,et al. A formal theory of fuzzy natural language quantification and its role in granular computing , 2001 .

[6] Senén Barro,et al. Modelling of task-oriented vocabularies: an example in fuzzy temporal reasoning , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

[7] Senén Barro,et al. Fuzzy temporal rules for mobile robot guidance in dynamic environments , 2001, IEEE Trans. Syst. Man Cybern. Part C.

[8] Daniel Sánchez,et al. Fuzzy cardinality based evaluation of quantified sentences , 2000, Int. J. Approx. Reason..

[9] Gloria Bordogna,et al. Modeling Vagueness in Information Retrieval , 2000, ESSIR.

[10] Senén Barro,et al. Voting-model based evaluation of fuzzy quantified sentences: a general framework , 2004, Fuzzy Sets Syst..

[11] Manuel Mucientes,et al. Fuzzy temporal rules: a rule-based approach for fuzzy temporal knowledge representation and reasoning , 2002 .