Title :
Quantitative estimation method for discrimination of nuance among impression words
Author :
Gi, Sachiko Taka ; Isomoto, Yukuo ; Nozaki, Hironari
Author_Institution :
Graduate Sch. of Nat. Sci., Nagoya City Univ., Yamanohata, Japan
Abstract :
In this paper the authors discuss a quantitative estimation method for discrimination of nuance among impression words that express favor, impression feeling, emotion, or aesthetic sense. The impression words play the role of keywords on information retrieval for the database of fine arts or industrial design. The subtle discrimination among the nuance of impression words makes verbal expression of our idea or feeling abundant and fruitful. The authors formulate the mathematical model and estimation method to quantify the discrimination among the impression words. The statistic data are gathered from 100 examinees and analyzed to declare quantitatively the discrimination among impression words. The result is edited as the fuzzy thesaurus of impression words. The authors show the mathematical formulation, estimating method and its result
Keywords :
database management systems; fuzzy logic; information retrieval; aesthetic sense; database; fine arts; fuzzy thesaurus; impression feeling; impression words; information retrieval; mathematical model; nuance discrimination; quantitative estimation method; Art; Data analysis; Databases; Equations; Fuzzy set theory; Fuzzy sets; Mathematical model; Painting; Thesauri; Tiles;
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
DOI :
10.1109/IECON.2000.972513
