Fuzzy multiple-criteria decision-making approach for industrial green engineering

Area of Science:

• Decision Science
• Engineering Management
• Environmental Science

Background:

• Fuzzy multicriteria decision-making (FMCDM) is crucial for evaluating complex strategies with subjective criteria.
• Traditional methods struggle with the inherent uncertainty and non-numerical nature of stakeholder judgments.
• Green engineering strategy evaluation requires robust methods to handle imprecise data.

Purpose of the Study:

• To develop a fuzzy hierarchical analytic approach for weighting subjective judgments.
• To present a nonadditive fuzzy integral technique for evaluating green engineering strategies as an FMCDM problem.
• To determine the relative importance of criteria and select optimal strategies in fuzzy environments.

Main Methods:

• Utilized a fuzzy hierarchical analytic approach to establish criterion weights.
• Employed triangular fuzzy numbers to represent subjective judgments and achievement values.
• Applied a lambda fuzzy measure and nonadditive fuzzy integral for synthetic performance evaluation.

Main Results:

• Successfully determined the relative importance of various investment strategy criteria.
• Ranked fuzzy weights and fuzzy synthetic utility values to identify superior strategies.
• Demonstrated the effectiveness of the nonadditive fuzzy integral for evaluating green engineering strategies.

Conclusions:

• The fuzzy hierarchical analytic approach provides a robust framework for subjective judgment weighting.
• The nonadditive fuzzy integral is an effective and appropriate tool for FMCDM, especially with dependent criteria.
• This methodology enhances decision-making for green engineering strategies in industries like Taiwan's aquatic products processing.