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A Ranking Model for Intuitionistic Fuzzy Preference Relation Under Uncertainty for Targeted Poverty

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1074))

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Abstract

Intuitionistic fuzzy preference relation (IFPR) is a suitable tool to present preference information and hesitation for decision maker among poverty alleviation candidates. This paper aims to provide an effective decision method for helping decision maker accurately to obtain priority weights by using IFPRs to represent the proportion of importance from candidates and rank them. Firstly, a fractional interactive minimizing deviation programming model based on multiplicative consistency-based method to derive weight vectors of alternatives from IFPRs based on multiplicative consistency is presented. Specifically, for any IFPR, by minimizing its absolute deviation from the corresponding consistent IFPR, the weight vectors are generated. Then, a new score function based on Euclidean distance is proposed. This defuzzification value is computed by constructing the idea of closest to ideal solution based on distance measure and ranks alternatives. Subsequently, a numerical example about targeted poverty alleviation selection is given to demonstrate the methods effectiveness.

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References

  1. Wilandari, Y., Mukid, M.A., Megawati, N., et al.: Analisis Klasifikasi Kabupaten di Jawa Tengah Berdasarkan Populasi Ternak Menggunakan Fuzzy Cluster Means. Media Statistika 7(2), 77–88 (2014)

    Article  Google Scholar 

  2. Diaz, Y., Espinoza, F.A., Markaki, Y., et al.: Targeting grenada’s most deprived population: a multidimensional living conditions assessment. OPHI Working Papers (2015)

    Google Scholar 

  3. Bashir, Z., Rashir, T., Iqbal, M.: Hesitant probabilistic fuzzy preference relations in decision making. Math. Probl. Eng. 2018, 1–24 (2018)

    Article  MathSciNet  Google Scholar 

  4. Zhou, W., Xu, Z.: Probability calculation and element optimization of probabilistic hesitant fuzzy preference relations based on expected consistency. IEEE Trans. Fuzzy Syst. 26(3), 1367–1378 (2018)

    Article  Google Scholar 

  5. Liao, H.C., Xu, Z.S.: Priorities of intuitionistic fuzzy preference relation based on multiplicative consistency. IEEE Trans. Fuzzy Syst. 22(6), 1669–1681 (2014)

    Article  Google Scholar 

  6. Lin, Y., Wang, Y.M.: Group decision making with consistency of intuitionistic fuzzy preference relations under uncertainty. IEEE/CAA J. Autom. Sinica 5(3), 741–748 (2018)

    Article  MathSciNet  Google Scholar 

  7. Gong, Z.W., Zhang, N., Chiclana, F.: The optimization ordering model for intuitionistic fuzzy preference relations with utility functions. Knowl.-Based Syst. 162, 174–184 (2018)

    Article  Google Scholar 

  8. Wang, Z.J.: Derivation of intuitionistic fuzzy weights based on intuitionistic fuzzy preference relations. Appl. Math. Model. 37(9), 6377–6388 (2013)

    Article  MathSciNet  Google Scholar 

  9. Tong, X., Wang, Z.J.: A group decision framework with intuitionistic preference relations and its application to low carbon supplier selection. Int. J. Environ. Res. Public Health 13(9), 923 (2016)

    Article  Google Scholar 

  10. Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20, 87–96 (1986)

    Article  Google Scholar 

  11. Das, S., Kar, M.B., Kar, S.: Group multi-criteria decision making using intuitionistic multi-fuzzy sets. J. Uncertainty Anal. Appl. 1(1), 10 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

The authors express their gratitude to the anonymous Reviewers for their valuable and constructive comments. And this work was supported by the Chongqing Social Science Planning Project (No. 2018YBSH085), Graduate Teaching Reform Research Program of Chongqing Municipal Education Commission (No. YJG183074), Major entrustment projects of the Chongqing Bureau of quality and technology supervision (No. CQZJZD2018001), Chongqing research and innovation project of graduate students (No. CYS18252, No. CYS17227) and the Science and Technology Research Project of Chongqing Municipal Education Commission(Grant number: KJQN201800624).

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Authors and Affiliations

  1. School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, People’s Republic of China

    Dongxu Yu

  2. Key Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, 400065, People’s Republic of China

    Sidong Xian

Authors
  1. Dongxu Yu
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  2. Sidong Xian
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Corresponding author

Correspondence to Sidong Xian .

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Editors and Affiliations

  1. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Yu, D., Xian, S. (2020). A Ranking Model for Intuitionistic Fuzzy Preference Relation Under Uncertainty for Targeted Poverty. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_77

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