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Dual Linguistic Term Set and Its Application Based on the Normal Cloud Model

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成果类型:
期刊论文
作者:
Wang, Pei*;Huang, Shuai;Cai, Chenguang
通讯作者:
Wang, Pei
作者机构:
[Wang, Pei] Guangdong Univ Foreign Studies, Sch Business, Guangzhou 510006, Peoples R China.
[Huang, Shuai] Guangdong Univ Technol, Sch Management, Guangzhou 510520, Peoples R China.
[Cai, Chenguang] Cent South Univ Forestry & Technol, Sch Transportat & Logist, Changsha 410004, Peoples R China.
通讯机构:
[Wang, Pei] G
Guangdong Univ Foreign Studies, Sch Business, Guangzhou 510006, Peoples R China.
语种:
英文
关键词:
Linguistics;Probabilistic logic;Decision making;Uncertainty;Fuzzy sets;Semantics;Electronic mail;Dual linguistic term set;hesitant fuzzy dual linguistic term set;linguistic probabilities;multicriteria decision making;normal cloud model;score function
期刊:
IEEE Transactions on Fuzzy Systems
ISSN:
1063-6706
年:
2021
卷:
29
期:
8
页码:
2180-2194
基金类别:
This work was supported in part by the National Natural Science Foundation of China under Grant 71901074, in part by the Key Project of Hunan Provincial EducationDepartment underGrant 19A506, and in part by the Philosophy and Social Science Foundation of Hunan Province
机构署名:
本校为其他机构
院系归属:
交通运输与物流学院
摘要:
In recent years, some complex linguistic expression techniques with probabilistic information, such as proportional linguistic terms, probabilistic linguistic term sets, have been proposed to describe the uncertainty of opinions and preferences. However, the probability information is expressed as the crisp numbers, which is usually difficult to be estimated and information losses may exist. To capture the inherent fuzziness and vagueness of decision information more comprehensively and accurately, in this article, we introduce a novel concept named dual linguistic term set (DLTS), which consi...

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