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Issue title: Some highlights on fuzzy systems and data mining
Guest editors: Shilei Sun, Silviu Ionita, Eva Volná, Andrey Gavrilov and Feng Liu
Article type: Research Article
Authors: Xia, Guoqing | Luan, Tiantian* | Sun, Mingxiao
Affiliations: College of Automation, Harbin Engineering University, Harbin City, Heilongjiang Province, China
Correspondence: [*] Corresponding author. Tiantian Luan, College of Automation, Harbin Engineering University, Nangang District, Harbin City, Heilongjiang Province, China. Tel.: +86 18088708253; Fax: +86 451 82820267; E-mail: [email protected].
Abstract: This paper proposes a new, comprehensive evaluation method of a principal, nonlinear fuzzy matter-element theory, which considers the complexity, hierarchy, contradiction and relevance of the factors in the sortie generation of carrier aircrafts. First of all, the index system of the sortie generation capacity is ascertained. The importance of the index is reflected in the degree of difference between the observed values of the index. Then the entropy value method is applied to determine the indexes’ weight. Secondly, in view of the situation that one index value is high and other index values are relatively low, the index with a high value is classified as good or bad in the actual situation. However, the prominent effect of this index cannot be reflected. This is due to the shortage of weight and the weight average method. Thus, the evaluation result will not consort with the actual situation. Therefore, this paper uses the nonlinear fuzzy matter-element method to evaluate the first class indexes and the second class indexes. The problem that highlight influences of some indexes are difficult to deal with can be solved by using the nonlinear evaluation method. Finally, the Surge operation of the aircraft carrier “Nimitz” is taken as an example to evaluate the sortie generation capacity. The results verify the usefulness and reliability.
Keywords: Fuzzy matter-element evaluation method, nonlinear fuzzy operator, entropy value method, sortie generation capacity of carrier aircrafts, comprehensive evaluation
DOI: 10.3233/JIFS-169191
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 6, pp. 3055-3066, 2016
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