## 1 Introduction
Thus, combining the use of TRMs and other prospecting techniques, such as MA, TRIZ and text mining, can provide greater capability to analyze a sea of data, including patent documents, product manuals, customer feedback, service manuals, etc. [7], and to seek new opportunities systematically for firm development. However, few papers focus on the process of seeking new opportunities in integrating MA and TRMs. In response, this paper proposed a methodology to utilize the results of MA as a basis of designing an existing TRM, while the forecast process was carried out with SGTM-based maps and TRIZ. The objectives of this paper are (a) to provide a comprehensive platform based on TRMs to integrate other techniques (TRIZ, mapping and computerized tools) in order to leverage the strengths of each part according to the modified form, (b) to explore a simplified pattern in TRIZ application according to keywords occurrence frequency and (c) to illustrate and discuss the application of the MA-based TRM methodology that proposed by the analysis of the development trends of underwater vehicles, aiming to seek new technologies and products in a visual way. Differing from previous researches, this article intends to explore a systematic path of seeking new opportunities in virtue of the improved TRIZ inventive principles affecting the TRM platform established based on MA. In response to the huge system of TRIZ, this research is explorative and heuristic on the simplification of TRIZ application, while an applicable inventive principle is introduced creatively to meet the heterogeneous underwater vehicle field. Apart from this, the integration between MA and TRIZ inventive principles indicates a novel and standard thought which represents the interaction between innovation dimensions and innovation algorithms, increasing the universality of this method. Additionally, the structured hierarchical system of TRM fits the two qualitative innovation methods well. To make the two qualitative methods more scientific and repeatable when analyzing complex systems, instead of relying only on the inspiration and experience of technicians, multiple text mining tools are applied to reduce the impact of experts' experiences. In order to improve the capability of analyzing technology and product trends and seeking new opportunities, from the perspective of theory, this paper contributes by proposing a methodology that integrates TRMs with other management techniques. The paper also contributes to refining the applied techniques in order to leverage the strengths of each part by improving the process of constructing a morphology matrix with computerized tools as well as simplifying the application process of TRIZ compared to classical TRIZ to seek new opportunities for firms and governments. From the practical perspective, the application in the field of underwater vehicles combined with case studies is exploratory and heuristic in seeking potentially valuable technologies and products for new business opportunities in the target field. Furthermore, the system of this approach requires open-source data from online databases, decreasing the cost of research and development (R&D) costs for SMEs while improving the capability of identifying technological trends and perceiving market changes to ensure the competitiveness of the firm and its status in the industry. The paper is structured as follows: Literature reviews on TRM, MA, TRIZ and text mining are demonstrated in Section 2. Section 3 is about the research framework. In this part, the research concept, the components of MA-based TRMs and the detailed procedure are described. Then, in Section 4, a proposed methodology for MA-based TRMs is illustrated with the underwater vehicle field. Section 5 is a discussion about the result of the illustrative study and several policies of the proposed methodology. Finally, in Section 6, the conclusions of this research are used to give possible directions for future studies.