This invention discloses a method and
system for constructing a multi-category product
sustainability index (SPI) that integrates subjective and
objective information with fuzzy
processing, belonging to the field of product eco-design and environmental management technology. The method first constructs a unified evaluation framework encompassing four attributes—
product function, resource and energy, environmental performance, and health and safety—along with specific measurement indicators. Then, it uses the
analytic hierarchy process (AHP) to calculate subjective weights, the
entropy weight method to calculate objective weights, and a game
theory model to optimally integrate the subjective and objective weights to obtain a comprehensive weight. For qualitative indicators, fuzzy matter-
element analysis is used to transform their linguistic evaluations into calculable quantitative values. Finally, the standardized data and quantitative values of all indicators are combined with the comprehensive weight to calculate the product
score and normalize it into the SPI. This invention overcomes the shortcomings of existing methods, such as strong subjectivity, inability to comprehensively quantify, and difficulty in horizontal comparison. It provides a scientific, universal, and comparable comprehensive evaluation scheme for product
sustainability, offering an intuitive quantitative decision-making tool for green design, procurement, and regulation.