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Induction approach via P-Graph to rank clean technologies.

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  • 1Chemical Engineering Department, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak, Malaysia.

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This study introduces a new method to rank clean technologies by learning from expert decisions. It uses an induction approach to approximate expert preferences for better technology selection, including Negative Emission Technologies (NETs).

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Area of Science:

  • Decision Science
  • Industrial Technology Assessment
  • Environmental Engineering

Background:

  • Evaluating clean technologies for industry requires systematic assessment across economic, technical, and environmental criteria.
  • Multiple Attribute Decision-Making (MADM) problems often involve complex trade-offs based on expert priorities.
  • Experts frequently rely on tacit knowledge, making traditional MADM approaches insufficient.

Purpose of the Study:

  • To develop a novel induction approach for modeling expert decision-making in technology selection.
  • To approximate implicit preference rules from expert rankings using the P-graph framework.
  • To enhance the systematic evaluation and ranking of industrial clean technologies.

Main Methods:

  • An induction approach is proposed to elicit and formalize expert decision-making pathways.
  • The P-graph framework is utilized to determine optimal and near-optimal solutions approximating expert preferences.
  • Expert knowledge is captured by ranking sample alternatives, and implicit rules are induced for ranking new options.

Main Results:

  • The proposed method successfully induces implicit preference rules from expert rankings.
  • The P-graph framework enables the approximation of expert decision structures.
  • The approach provides a systematic way to rank alternatives, as demonstrated with Negative Emission Technologies (NETs).

Conclusions:

  • The induction approach effectively models expert tacit knowledge in MADM problems.
  • This method offers a more accurate approximation of expert preferences compared to conventional MADM techniques.
  • The study validates the approach's utility in ranking Negative Emission Technologies for industrial implementation.