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| TRIZ Theory Combined with Hidden Markov Model Technology Life Cycle Assessment and Technology Evolution Pattern Discovery |
| Yu Yan1,2, Wang Ruishan2, Ma Xinyuan2, Liu Pan2 |
1.Nanjing Tech University Library, Nanjing 211816
2.School of Economics and Management, Nanjing Tech University, Nanjing 211816 |
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Abstract In light of the shortcomings of current technology life cycle assessment methods, such as strong subjectivity, and insufficient theoretical support, as well as the problem that technology evolution patterns rely on manual discovery, this study proposes a technology life cycle assessment method combining TRIZ theory and the hidden Markov model, and an automated method for discovering technology evolution patterns based on technology life cycle clustering. The method first constructs technology life cycle assessment indicators based on TRIZ theory, then uses the hidden Markov model to integrate the assessment indicators to evaluate the technology life cycle. Subsequently, through technology life cycle clustering, technology evolution patterns are identified based on TRIZ theory. Taking the field of lithium-ion battery electrolytes as empirical data, the accuracy and effectiveness of this method are verified.
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Received: 14 April 2025
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