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Equipment Development Scheme Decision Based on IFS‐Choquet Integral Improved Matter Element Model

Author

Listed:
  • Nuojin Zhu
  • Huaiqiang Zhang
  • Yang Yang
  • Boyuan Shi
  • Kun Gao

Abstract

An optimized matter element decision method is proposed based on intuitionistic fuzzy set (IFS) and Choquet integral to solve the problems of equipment development scheme decision (e.g., the correlation of scheme attributes and the low decision reliability of evaluation results). First, the nonlinear programming problem of expert intuition fuzzy subjective and objective decision information difference is constructed using the Choquet integral method, and the measure values and related factors of decision attributes are solved using the optimization algorithm. Second, given the comprehensive contribution of attributes, the fuzzy measure Shapley value is employed to represent the attribute weight. Last, the matter element extension model is optimized using the attribute weight information and intuitionistic fuzzy score value, and a two‐level evaluation strategy is formulated to determine the ranking and grade. On that basis, scientific decisions are made for several different schemes to be selected.

Suggested Citation

  • Nuojin Zhu & Huaiqiang Zhang & Yang Yang & Boyuan Shi & Kun Gao, 2023. "Equipment Development Scheme Decision Based on IFS‐Choquet Integral Improved Matter Element Model," Mathematical Problems in Engineering, John Wiley & Sons, vol. 2023(1).
  • Handle: RePEc:wly:jnlmpe:v:2023:y:2023:i:1:n:9588802
    DOI: 10.1155/2023/9588802
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    References listed on IDEAS

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    1. F. W. Zhang & S. H. Xu & B. J. Wang & Z. J. Wu, 2014. "A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-6, March.
    2. F. W. Zhang & S. H. Xu & B. J. Wang & Z. J. Wu, 2014. "A Method for Multiple Attribute Decision Making Based on the Fusion of Multisource Information," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
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