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An improved operator of combination with adapted conflict

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  • Xinyang Deng
  • Yong Deng
  • Felix Chan

Abstract

In the belief function theory, combination of reliable or unreliable information sources is concerned for a long time. Recently, Lefèvre and Elouedi proposed an operator called Combination With Adapted Conflict (CWAC) to synthesize all the knowledge of the initial belief functions. However, several problems are existed in the CWAC operator actually. The conflict obtained by using CWAC actually is not reasonable as an alarm in some situation and cannot truly reflect the opposition between the belief functions in the combination. In this paper, the existing problems of CWAC are exposed. And based on the spirit of original CWAC operator, an improved CWAC operator is proposed, which is more reasonable and effective. Some illustrative examples are given to show the effectiveness and strength of the proposed improved CWAC operator. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Xinyang Deng & Yong Deng & Felix Chan, 2014. "An improved operator of combination with adapted conflict," Annals of Operations Research, Springer, vol. 223(1), pages 451-459, December.
    • Handle: RePEc:spr:annopr:v:223:y:2014:i:1:p:451-459:10.1007/s10479-014-1729-9
    DOI: 10.1007/s10479-014-1729-9
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    References listed on IDEAS

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    1. Dong-Ling Xu, 2012. "An introduction and survey of the evidential reasoning approach for multiple criteria decision analysis," Annals of Operations Research, Springer, vol. 195(1), pages 163-187, May.
    2. Zhen Li & Ching-Chung Kuo, 2013. "Design of discrete Dutch auctions with an uncertain number of bidders," Annals of Operations Research, Springer, vol. 211(1), pages 255-272, December.
    3. Chen, Chien-Wei & Fan, Yueyue, 2012. "Bioethanol supply chain system planning under supply and demand uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 150-164.
    4. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    5. Thierry Denœux & Marie-Hélène Masson, 2012. "Evidential reasoning in large partially ordered sets," Annals of Operations Research, Springer, vol. 195(1), pages 135-161, May.
    6. Ching-Chung Kuo, 2011. "Optimal assignment of resources to strengthen the weakest link in an uncertain environment," Annals of Operations Research, Springer, vol. 186(1), pages 159-173, June.
    7. Jun Liu & Jian-Bo Yang & Da Ruan & Luis Martinez & Jin Wang, 2008. "Self-tuning of fuzzy belief rule bases for engineering system safety analysis," Annals of Operations Research, Springer, vol. 163(1), pages 143-168, October.
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    Cited by:

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    2. Qunzhen Qu & Wenjing Wang & Mengxue Tang & Youhu Lu & Sang-Bing Tsai & Jiangtao Wang & Guodong Li & Chih-Lang Yu, 2017. "A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises," Sustainability, MDPI, vol. 9(4), pages 1-10, April.

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