Interval data driven construction of shadowed sets with application to linguistic word modelling

doi:10.1016/j.ins.2018.11.018

	Interval data driven construction of shadowed sets with application to linguistic word modelling
	Li, Chengdong 1; Yi, Jianqiang2 ; Wang, Hongkai 3; Zhang, Guiqing 1; Li, Junqing 4
刊名	INFORMATION SCIENCES
	2020
卷号	507 页码:503-521
关键词	Shadowed set Interval data Data driven Tolerance limit Percentile statistic
ISSN号	0020-0255
DOI	10.1016/j.ins.2018.11.018
通讯作者	Li, Chengdong(lichengdong@sdjzu.edu.cn)
英文摘要	The interval data from different surveyed persons for one linguistic word can reflect the intra- and inter-uncertainties of the word. This study shows how to construct shadowed set models for linguistic words based on the surveyed interval data. Firstly, corresponding to the popularly used fuzzy sets for linguistic words, four kinds of shadowed sets are introduced according to their shapes and named as the normal, the left-shoulder, the right-shoulder, and the non-cored shadowed sets. A data-driven approach that utilizes different statistics to determine the shapes and parameters of the shadowed set models is then proposed. The proposed data-driven approach includes two methods; the first is the tolerance limit method depending on the mean and standard deviation of the remaining interval data after pre-processing, whilst the other is the percentile method relying on the percentiles of the remaining interval data. Additionally, to evaluate the modelling performance, three novel indices are presented to measure the uncertainty-capture capability and accuracy of the constructed shadowed set models. Finally, the proposed approach is applied to two real-world problems. One is the modelling of 32 words in a codebook, and the other is the modelling of the thermal feeling words. The proposed methods are compared with other interval data driven methods, e.g. the enhanced interval approach and the fuzzy statistic method. Our results show that the proposed percentile method performs better in both applications. The proposed approach can also be applied to some other linguistic word modelling applications when it is reasonable to adopt shadowed sets as the words' models. (C) 2018 Elsevier Inc. All rights reserved.
资助项目	National Natural Science Foundation of China[61473176] ; National Natural Science Foundation of China[61105077] ; National Natural Science Foundation of China[61573225] ; Taishan Scholar Project of Shandong Province
WOS关键词	TYPE-2 FUZZY-SETS ; 3-WAY APPROXIMATIONS ; C-MEANS
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000489000500031
资助机构	National Natural Science Foundation of China ; Taishan Scholar Project of Shandong Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/26609]
专题	中国科学院自动化研究所
通讯作者	Li, Chengdong
作者单位	1.Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan 250101, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Univ Jinan, Sch Math Sci, Jinan 250022, Shandong, Peoples R China 4.Liaocheng Univ, Sch Comp Sci, Liaocheng 252059, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Li, Chengdong,Yi, Jianqiang,Wang, Hongkai,et al. Interval data driven construction of shadowed sets with application to linguistic word modelling[J]. INFORMATION SCIENCES,2020,507:503-521.
APA	Li, Chengdong,Yi, Jianqiang,Wang, Hongkai,Zhang, Guiqing,&Li, Junqing.(2020).Interval data driven construction of shadowed sets with application to linguistic word modelling.INFORMATION SCIENCES,507,503-521.
MLA	Li, Chengdong,et al."Interval data driven construction of shadowed sets with application to linguistic word modelling".INFORMATION SCIENCES 507(2020):503-521.