[PDF] Top 20 A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

... present a new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference ... See full document

... be a good start point as the new virtual position of the user’s query vector q ...derive a new virtual user’s query vector vq and calculating the degree of satisfaction DS(d i ) of each ... See full document

... , and it coincides the viewpoint of the human’s ...with fuzzy information ...satisfaction and are all evaluated as 0, and the degrees of satisfaction and are all evaluated as ... See full document

... presented a fuzzy concept network structure which acts as a knowledge base for information ...retrieval. A fuzzy concept network consists of nodes and ...in ... See full document

... present a new method to deal with temperature prediction based on fuzzy clustering and fuzzy rules interpolation ...proposed method constructs ... See full document

... presented a weighted fuzzy interpolative reasoning method for sparse fuzzy rule-based systems, where the antecedent variables appearing in the fuzzy rules have different ... See full document

... an inference technique for sparse fuzzy rule-based ...of fuzzy rules significantly affects the execution time of the fuzzy rule-based system, where the sparser the ... See full document

... ETHOD FOR D EALING WITH C LASSIFICATION P ROBLEMS In this section, we propose a new method for dealing with classification problems based on fuzzy ... See full document

... proposes a new approach to video-based traf- fic surveillance using a fuzzy hybrid information inference mechanism ...segmentation, and vehicle tracking with error ... See full document

... CONSTRUCTING FUZZY DECISION TREES AND GENERATING FUZZY CLASSIFICATION RULES Quinlan (1986) proposed a learning algorithm called ID3 to construct decision trees from a set of training ... See full document

... matching and fuzzy rule reasoning to recognize an action. Firstly, a fore-ground subject is extracted and converted to a binary image by a statistical background model ... See full document

... In this paper, we present a fuzzy information retrieval method based on fuzzy-valued concept networks, where the relevant degree between any two concepts in a fuzz[r] ... See full document

... Multi-relationship fuzzy concept networks In this section, we present the de6nitions ofmulti-relationship fuzzy concept networks ...ofmulti-relationship fuzzy concept networks are similar to the ... See full document

... combining fuzzy within- and between-cluster ...considering a more separable data transformation, the improved new algorithm, "Fuzzy Transformed C-Mean (FTCM)", is ...algorithm ... See full document

... If compound queries (i.e., queries with AND connectors or OR connectors) are used instead of simple queries, the reasoning process would slow down and become inef[r] ... See full document

... ?he proposed information h i o n method can handle the multi-criteria fuzzy decision-making problems in a more intelligent and more flexible manner due to the fac[r] ... See full document

... In this paper, we present a weighted fuzzy reasoning technique for fuzzy control based on weighted fuzzy logics, where the truth values of the conditions appeari[r] ... See full document

... Science and Information Engineering, Jinwen University of Science and Technology, Taipei County, Taiwan, ...sparse fuzzy rule-based systems. In this paper, we present a ... See full document

... Fuzzy composition approach is used to construct thesaurus. Different operation used in fuzzy composition, such as max-min, max-product, and sum-product, will affect the order of[r] ... See full document

... Then, based on [17], we can see that the relevance value of the document d 2 with respect to the concept C 3 is max (0:6; 0:9; 0:5) = 0:9: The reasoning procedure should be repeated n times if there are n ... See full document