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Multiattribute Evaluation of Weapon Systems Under Z-Information

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10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019 (ICSCCW 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1095))

Abstract

Weapon systems are complex technical systems characterized by imperfect relevant information. Zadeh introduced the Z-number concept to formalize imprecision and partial reliability of information. In this paper, we consider a hierarchical decision making based on an evaluation of weapon systems under Z-number-based information. Z-number-valued weighted average aggregation operator is used for solving of this problem.

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References

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Author information

Authors and Affiliations

  1. Department of Computer-Aided Control Systems, Azerbaijan State Oil Academy, 20 Azadlig Ave., AZ1010, Baku, Azerbaijan

    K. I. Jabbarova

Authors
  1. K. I. Jabbarova
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Corresponding author

Correspondence to K. I. Jabbarova .

Editor information

Editors and Affiliations

  1. Joint MBA Program, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Rafik A. Aliev

  2. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  4. Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA

    Mo Jamshidi

  5. Azerbaijan State Oil and Industry University, Baku, Azerbaijan

    Mustafa B. Babanli

  6. Department of Mechatronics, Near East University, Nicosia, Turkey

    Fahreddin M. Sadikoglu

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Jabbarova, K.I. (2020). Multiattribute Evaluation of Weapon Systems Under Z-Information. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F. (eds) 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019. ICSCCW 2019. Advances in Intelligent Systems and Computing, vol 1095. Springer, Cham. https://doi.org/10.1007/978-3-030-35249-3_46

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