[1]ZOU Li,TAN Xuewei,WEN Xin,et al.Linguistic truth-valued intuitionistic fuzzy reasoning with truth-valued qualifications[J].CAAI Transactions on Intelligent Systems,2015,10(5):797-802.[doi:10.11992/tis.201410006]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
10
Number of periods:
2015 5
Page number:
797-802
Column:
学术论文—自然语言处理与理解
Public date:
2015-10-25
- Title:
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Linguistic truth-valued intuitionistic fuzzy reasoning with truth-valued qualifications
- Author(s):
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ZOU Li1; 2; TAN Xuewei1; WEN Xin1; LIU Xin3
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1. School of Computer and Information Technology, Liaoning Normal University, Dalian 116081, China;
2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China;
3. School of Mathematics, Liaoning Normal University, Dalian 116081, China
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- Keywords:
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intuitionistic fuzzy sets; truth-valued qualifications; hesitancy degree; consistency degree; reasoning
- CLC:
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TP181
- DOI:
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10.11992/tis.201410006
- Abstract:
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In order to help linguistic information be more natural, as well as reduce loss of information while reason-ing, this paper proposes a method for linguistic truth-valued intuitionistic fuzzy reasoning with truth-valued qualifications, by combining with the linguistic truth-valued lattice implication algebra. This paper studies the concepts of linguistic truth-valued intuitionistic fuzzy hesitancy degree, consistency degree, incompatibility degree, and related properties. By calculation of linguistic truth-valued intuitionistic fuzzy consistency degree, truth-value reasoning is reduced. The method of truth-valued qualifications reasoning is given and further detailed steps for reasoning com-putation are demonstrated. An example is given to illustrate that the method is more effective in dealing with linguis-tic truth-valued intuitionistic fuzzy reasoning with both comparability and incomparability.