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Volumn 30, Issue 4, 2009, Pages 601-604

A group decision-making method with multi-granularity uncertain linguistic information

Author keywords

Alternative ranking; Group decision making; Multi granularity; Possibility degree; Uncertain linguistic information

Indexed keywords

ALTERNATIVE-RANKING; GROUP DECISION-MAKING; MULTI-GRANULARITY; POSSIBILITY DEGREE; UNCERTAIN LINGUISTIC INFORMATION;

EID: 65349138922     PISSN: 10053026     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (12)
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  • 2
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    • Chen, C.T.1
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    • A fusion approach for managing multi-granularity linguistic term sets in decision making
    • Herrera F, Herrera-Viedma E, Martinez L. A fusion approach for managing multi-granularity linguistic term sets in decision making [J]. Fuzzy Sets and Systems, 2000, 114 (1): 43-58.
    • (2000) Fuzzy Sets and Systems , vol.114 , Issue.1 , pp. 43-58
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  • 5
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    • Method to determine importance of customers' requirements in QFD
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    • A method for group decision making with multi-granularity linguistic assessment information
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    • Jiang, Y.P.1    Fan, Z.P.2    Ma, J.3
  • 7
    • 34547619438 scopus 로고    scopus 로고
    • A method for group decision making based on linguistic judgment matrices with different granularities
    • Chen Yan, Fan Zhi-ping, Chen Xia. A method for group decision making based on linguistic judgment matrices with different granularities [J]. Journal of Northeastern University: Natural Science, 2007, 28 (7): 1057-1060.
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  • 8
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    • Approach to group decision making with multi-granularity linguistic comparison matrices
    • Jiang Yan-ping, Fan Zhi-ping. Approach to group decision making with multi-granularity linguistic comparison matrices [J]. Journal of Systems Engineering, 2006, 21 (3): 249-253.
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  • 9
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    • Xu Z S. Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment [J]. Information Sciences, 2004, 168 (1/2/3/4): 171-184.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.