The non-additive Choquet integration in the fuzzy DNP framework for evaluating co-dependent technology transfer models

Technology transfer is one of the most important approaches for achieving R&D successes in the open innovation era. While defining technology transfer strategies, several aspects including technology feasibility, business models, etc. should be considered. However, very few scholars tried to explore how an evaluation mechanism can be structured so that an appropriate technology transfer model can be defined. Further, the very complicated technology transfer model consisting aspects influencing each other was seldom discussed. Moreover, scholars who tried to define technology transfer models by using the traditional multiple criteria decision making (MCDM) frameworks usually did not neglect the fuzziness of the criteria. The aggregation of the performance scores by using the simple added weighting (SAW) approach is also against the assumptions of the DEMATEL, the Fuzzy DEMATEL, the ANP, the or DEMATEL based Network Process (DNP). Thus, the author proposed a Choquet Integral Based Fuzzy MCDM framework for resolving both the technology transfer model definition problem involving multiple aspects and the fuzzy performance score aggregation problem. An empirical study based on a real technology transfer case being modified for an SOC (System-on-a-Chip) will be introduced for verifying the feasibility of the proposed framework.